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other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. 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Yamamoto, Future directions in computer vision and image understanding: ETL perspectives, Tenth International Conference on Pattern Recognition-A, 32–37.\nT. Kanade and S. Shafer, CMU Image Understanding Program, Image Understanding Workshop, 1–10.\nJ. R. Kender, P. K. Allen, and T. E. Boult, Image understanding and robotics research at Columbia University, Image Understanding Workshop, 11–18.\nT. Poggio and the staff, MIT progress in understanding images, Image Understanding Workshop, 1927.\nJ. (Y.) Aloimonos, L. S. Davis, and A. Rosenfeld, Maryland progress in image understanding, Image Understanding Workshop, 19–42.\nNevatia, 1989, USC image understanding research, 43\nJ. L. Mundy, Image understanding research at GE, Image Understanding Workshop, 67–69.\nB. Bhanu, Image understanding research at Honeywell, Image Understanding Workshop, 70–75.\nC. Brown and R. Nelson, Image understanding research at Rochester, Image Understanding Workshop, 76–85.\nE. M. Riseman and A. R. Hanson, Progress in computer vision at the University of Massachusetts, Image Understanding Workshop, 86–96.\nM. A. Fischler and R. C. Bolles, Image understanding research at SRI International, Image Understanding Workshop, 97–106.\nR. Bajcsy, Image understanding at the GRASP laboratory, Image Understanding Workshop, 107–114.\nD. B. Cooper, T. L. Dean and W. A. Wolovich, Image understanding research at Brown University, Image Understanding Workshop, 131–133.\nN. Ahuja, IU at UI: An overview of research during 1988–1990, Image Understanding Workshop, 134–140.\nRosenfeld, 1990, Image analysis and computer vision: 1989, Computer Vision, Graphics, and Image Processing, 50, 188, 10.1016\u002F0734-189X(90)90041-S\nD. T. Lee, ed., International Journal of Computational Geometry and Applications, World Scientific, Singapore, 1991ff.\n1990, 5, 97\n1990, 5, 423\n1990, 40, 1\nJeong, 1990, Parallel geometric algorithms on a mesh-connected computer, Algorithmica, 5, 155, 10.1007\u002FBF01840383\nDobkin, 1990, Computational geometry in a curved world, Algorithmica, 5, 421, 10.1007\u002FBF01840397\nGraham, 1990, A whirlwind tour of computational geometry, American Mathematical Monthly, 97, 687, 10.2307\u002F2324575\nDobkin, 1990, Applied computational geometry: Towards robust solutions of basic problems, Journal of Computer and System Sciences, 40, 70, 10.1016\u002F0022-0000(90)90019-H\nEdelsbrunner, 1990, Simulation of simplicity: A technique to cope with degenerate cases in geometric algorithms, ACM Transactions on Graphics, 9, 66, 10.1145\u002F77635.77639\n1990, 24\n1990\n1990, 24\n1990\nPlastock, 1986\nAngel, 1990\nFoley, 1990\nGlassner, 1990\nHill, 1990\nWatt, 1990\nOwen, 1989, Computer graphics and computer-aided design literature: A keyword-indexed bibliography for the year 1988, 8, 249\n1990, Electronics Imaging West '90\n1990, Electronics Imaging East '90\n1990, Imagexpo\n1990\nA. S. Rojer and E. L. Schwartz, Design considerations for a space-variant visual sensor with complex-logarithmic geometry, Tenth International Conference on Pattern Recognition-D, 278–285.\nK. Chen, A. Astrom and P. E. Danielsson, PASIC: A smart sensor for computer vision, Tenth International Conference on Pattern Recognition-D, 286–291.\nMax, 1990, Antialiasing scan-line data, IEEE Computer Graphics and Applications, 10, 18, 10.1109\u002F38.45807\nBorgefors, 1990, A semiregular image grid, Journal of Visual Communication and Image Representation, 1, 127, 10.1016\u002F1047-3203(90)90002-D\nRao, 1990, Analysis of ordered dither for arbitrary sampling lattices and screen periodicities, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1981, 10.1109\u002F29.103099\nPavlidis, 1990, Comments on “Stochastic Sampling in Computer Graphics”, ACM Transactions on Graphics, 9, 233\nOhta, 1990, Ray-bound tracing for perfect and efficient anti-aliasing, The Visual Computer, 6, 125, 10.1007\u002FBF01911004\nJ. Amanatides and D. P. Mitchell, Antialiasing of interlaced video animation, SIGGRAPH'89 Conference, 77–85.\nBrigham, 1988\nRao, 1990\nDuhamel, 1990, Fast Fourier transforms: A tutorial review and a state of the art, Signal Processing, 19, 259, 10.1016\u002F0165-1684(90)90158-U\nMartens, 1990, The Hermite transform—Theory, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1595, 10.1109\u002F29.60086\nMartens, 1990, The Hermite transform—Applications, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1607, 10.1109\u002F29.60076\nDaubechies, 1990, The wavelet transform, time-frequency localization and signal analysis, T-IT, 36, 961\nGertner, 1990, The group theoretic approach to image representation, Journal of Visual Communication and Image Representation, 1, 67, 10.1016\u002F1047-3203(90)90017-P\n1990, 38, 1236\nForchheimer, 1989, Image coding—From waveforms to animation, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 2008, 10.1109\u002F29.45550\nHunter, 1989, Breadth-first quad encoding for networked picture browsing, Computers and Graphics, 13, 419, 10.1016\u002F0097-8493(89)90003-4\nZabrodsky, 1990, Attentive transmission, Journal of Visual Communication and Image Representation, 1, 189, 10.1016\u002F1047-3203(90)90007-I\n1990\nKing, 1989\nLim, 1990\n1990, 1247\n1989, 37, 2006\n1990, 78, 587\nBose, 1990, Multidimensional digital signal processing: Problems, progress, and future scopes, 78, 590\n1990, 29, 391\nDemoment, 1989, Image reconstruction and restoration: Overview of common estimation structures and problems, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 2024, 10.1109\u002F29.45551\nLee, 1990, A note on the use of nonlinear filtering in computer graphics, IEEE Computer Graphics and Applications, 10, 23, 10.1109\u002F38.55149\nFong, 1990, Algorithms and architectures for a class of non-linear hybrid filters, Computer Vision, Graphics, and Image Processing, 50, 101, 10.1016\u002F0734-189X(90)90069-8\nRonse, 1990, Order-configuration functions: Mathematical characterizations and applications to digital signal and image processing, IS, 50, 275\nAstola, 1990, Vector median filters, 78, 678\nAsano, 1990, The nearest neighbor median filter: Some deterministic properties and implementations, Pattern Recognition, 23, 1059, 10.1016\u002F0031-3203(90)90002-3\nChaudhuri, 1990, An efficient algorithm for running window pel gray level ranking in 2-D images, Pattern Recognition Letters, 11, 77, 10.1016\u002F0167-8655(90)90116-J\nZamperoni, 1990, Some adaptive rank order filters for image enhancement, Pattern Recognition Letters, 11, 81, 10.1016\u002F0167-8655(90)90117-K\nAsano, 1990, Convergence properties of recursive rank-order filter and neural network, Pattern Recognition Letters, 11, 557, 10.1016\u002F0167-8655(90)90026-X\nBoles, 1990, A reduced edge distortion median filtering algorithm for binary images, Signal Processing, 21, 37, 10.1016\u002F0165-1684(90)90025-T\nCoyle, 1989, Optimal stack filtering and the estimation and structural approaches to image processing, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 2037, 10.1109\u002F29.45552\nRichards, 1990, VLSI median filters, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 145, 10.1109\u002F29.45627\nLee, 1990, Decision-based order statistic filters, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 406, 10.1109\u002F29.106860\nLin, 1990, Adaptive stack filtering under the mean absolute error criterion, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 938, 10.1109\u002F29.56055\nGabbouj, 1990, Minimum mean absolute error stack filtering with structural constraints and goals, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 955, 10.1109\u002F29.56056\nWang, 1990, On the max\u002Fmedian filter, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1473, 10.1109\u002F29.57587\nYu, 1990, Convergence behavior and n-roots of stack filters, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1529, 10.1109\u002F29.60073\nWendt, 1990, Nonrecursive and recursive stack filters and their filtering behavior, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 2099, 10.1109\u002F29.61536\nWichman, 1990, FIR-median hybrid filters with excellent transient response in noisy conditions, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 2108, 10.1109\u002F29.61537\nUnser, 1990, Weighted averaging of a set of noisy images for maximum signal-to-noise ratio, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 890, 10.1109\u002F29.56038\nQ. Shen, Fuzzy image smoothing, Tenth International Conference on Pattern Recognition-C, 74–78.\nM. Irani, and S. Peleg, Super resolution from image sequences, Tenth International Conference on Pattern Recognition-C, 115–120.\nStoel, 1990, Interactive histogram equalization, Pattern Recognition Letters, 11, 247, 10.1016\u002F0167-8655(90)90063-8\nToet, 1990, Adaptive multi-scale contrast enhancement through non-linear pyramid recombination, Pattern Recognition Letters, 11, 735, 10.1016\u002F0167-8655(90)90092-G\nJ. Fairfield, Toboggan contrast enhancement for contrast segmentation, Tenth International Conference on Pattern Recognition-B, 712–716.\nSezan, 1990, A peak detection algorithm and its application to histogram-based image data reduction, Computer Vision, Graphics, and Image Processing, 49, 36, 10.1016\u002F0734-189X(90)90161-N\nMoran, 1990, A morphological transformation for sharpening edges of features before segmentation, Computer Vision, Graphics, and Image Processing, 49, 85, 10.1016\u002F0734-189X(90)90164-Q\nVasilenko, 1989\nBlackledge, 1989\nHuang, 1990\nH. J. Caulfield and G. Green, eds., Selected Papers on Optical Computing, Proc. Society of Photo-Optical Instrumentation Engineers1142.\n1990, CR35\n1990, 1215\n1990, 1281\n1990, 1296\n1990, 1297\n1990, 1347\nBerra, 1989, Optics and supercomputing, v, 77, 1797\nStreibl, 1989, Digital optics, 77, 1954\nNeff, 1990, Two-dimensional spatial light modulators: A tutorial, 78, 826\n1990\n1990\n1990, 1249\n1990\n1989\n1990\n1988\nFinke, 1989\nGordon, 1989\nGraham, 1989\nRollins, 1989\nDavson, 1990\nFarah, 1990\nWatt, 1990\nAlexandrov, 1991\nPrevic, 1990, Functional specialization in the lower and upper visual fields in humans: Its ecological origins and neurophysiological implications, Behavioral and Brain Sciences, 13, 519, 10.1017\u002FS0140525X00080018\nSloman, 1989, On designing a visual system (Towards a Gibsonian computational model of vision), Journal of Theoretical and Experimental Artificial Intelligence, 1, 289, 10.1080\u002F09528138908953711\nOzawa, 1990, Simulation studies on optical illusions, Pattern Recognition, 23, 1361, 10.1016\u002F0031-3203(90)90082-V\nMeer, 1989, The role of stimulus structure in spatial hyperacuity, Spatial Vision, 4, 141, 10.1163\u002F156856889X00095\nSperling, 1989, Three stages and two systems of visual processing, Spatial Vision, 4, 183, 10.1163\u002F156856889X00112\n1989\n1990\n1990, 1294\n1990\n1990\n1990\n1990\n1990\n1990, 14, 247\n1990, 78, 1411\n1990, 78, 1547\nArbib, 1989\nCarling, 1990\nCaudill, 1990\nChurchland, 1990\nHecht-Nielsen, 1990\nJudd, 1990\nKhanna, 1990\nKosko, 1990\nParten, 1990\nZeidenberg, 1990\nZornetzer, 1990\n1991\nNelson, 1991\nHanson, 1990, What connectionist models learn: Learning and representation in connectionist networks, Behavioral and Brain Sciences, 13, 471, 10.1017\u002FS0140525X00079760\nM. Misra and V. K. Prasanna Kumar, Massive memory organizations for implementing neural networks, Tenth International Conference on Pattern Recognition-D, 259–264.\nB. Svensson and T. Nordstrom, Execution of neural network algorithms on an array of bit-serial processors, Tenth International Conference on Pattern Recognition-D, 501–505.\nT. Bernard and B. Zavidovique, About the adjective “neural” when applied to smart sensors, Tenth International Conference on Pattern Recognition-D, 556–560.\nM. C. Golumbic, ed., Annals of Mathematics and Artificial Intelligence, Baltzer, Basel, Switzerland, 1990ff.\n1989\n1990\n1990\n1990, 1293\n1990\n1990\n1990\nBrink, 1989\n1989\n1990\n1990\n1990\n1990\nHenderson, 1990\nCooper, 1989, An optimal k-consistency algorithm, Artificial Intelligence, 41, 89, 10.1016\u002F0004-3702(89)90080-5\nCooper, 1990, The computational complexity of probabilistic inference using Bayesian belief networks, IA, 43, 393\nKasif, 1990, On the parallel complexity of discrete relaxation in constraint satisfaction networks, Artificial Intelligence, 45, 275, 10.1016\u002F0004-3702(90)90009-O\nChen, 1990, A parallel architecture for probabilistic relaxation operations on images, Pattern Recognition, 23, 637, 10.1016\u002F0031-3203(90)90039-N\nHancock, 1990, Discrete relaxation, Pattern Recognition, 23, 711, 10.1016\u002F0031-3203(90)90094-2\nZhang, 1990, Multispectral image context classification using stochastic relaxation, IEEE Transactions on Systems, Man, and Cybernetics, 20, 128, 10.1109\u002F21.47815\nPelkowitz, 1990, A continuous relaxation labeling algorithm for Markov random fields, IEEE Transactions on Systems, Man, and Cybernetics, 20, 709, 10.1109\u002F21.57279\nE. R. Hancock and J. Kittler, A label error process for discrete relaxation, Tenth International Conference on Pattern Recognition-B, 523–528.\n1990\n1990\nPavlidis, 1990, Fundamentals of bar code information theory, Computer, 23, 74, 10.1109\u002F2.55471\nEckhouse, 1990, Intelligent character recognition, Computer, 23, 99\nElliman, 1990, A review of segmentation and contextual analysis techniques for text recognition, Pattern Recognition, 23, 337, 10.1016\u002F0031-3203(90)90021-C\nGovindan, 1990, Character recognition—A review, Pattern Recognition, 23, 671, 10.1016\u002F0031-3203(90)90091-X\nTappert, 1990, The state of the art in online handwriting recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 787, 10.1109\u002F34.57669\nNagasamy, 1990, Engineering drawing processing and vectorization system, Computer Vision, Graphics, and Image Processing, 49, 379, 10.1016\u002F0734-189X(90)90111-8\nMonmonier, 1990, Graphically encoded knowledge bases for expert-guided feature generalization in cartographic display systems, Intl. J. Expert Systems, 3, 65\nSuzuki, 1990, MARIS: Map recognition input system, Pattern Recognition, 23, 919, 10.1016\u002F0031-3203(90)90137-A\nKasturi, 1990, A system for interpretation of line drawings, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 978, 10.1109\u002F34.58870\nM. Ilg, Knowledge-based understanding of road maps and other line images, Tenth International Conference on Pattern Recognition-A, 282–289.\nR. P. Futrelle, Strategies for diagram understanding: Generalized equivalence, spatial\u002Fobject pyramids and animate vision, Tenth International Conference on Pattern Recognition-A, 403–408.\nA. Shimaya and I. Yoroizawa, Automatic creation of reasonable interpretations for complex line figures, Tenth International Conference on Pattern Recognition-B, 480–484.\nS. Satoh, Y. Ohsawa, and M. Sakauchi, Drawing image understanding using state transition models, Tenth International Conference on Pattern Recognition-B, 491–495.\nH. Kato and S. Inokuchi, The recognition method for roughly drawn logical diagrams based on hybrid utilization of multilayered knowledge, Tenth International Conference on Pattern Recognition-B, 578–582.\nS. Shimotsuji, A robust drawing recognition system based on contour shape analysis, Tenth International Conference on Pattern Recognition-B, 717–719.\nJ. C. Russ, ed., Journal of Computer-Assisted Microscopy, Plenum Press, New York, 1989ff.\n1990, 1231\n1990, 1232\n1990, 1233\n1990, 1234\n1990, 1245\n1990, 1265\nIDENT\u002FVISION, 1990\n1990\n1990\n1990, 1384\n1990, CR36\n1990, 1385\n1990, 1386\n1990, Vision'90\n1990\n1989\n1990, 11, 9\n1990, 11, 30\nHutchinson, 1990, Spar: A planner that satisfies operations and geometric goals in uncertain environments, Artificial Intelligence Magazine, 11, 30\nSanderson, 1990, 11, 62\nPopplestone, 1990, A group theoretic approach to assembly planning, Artificial Intelligence Magazine, 11, 82\nSkaar, 1990, Three-dimensional camera space manipulation, IJRR, 9, 22\nAgapakis, 1990, Approaches for recognition and interpretation of workpiece surface features using structured lighting, IJRR, 9, 3\nAgapakis, 1990, Vision-aided robotic welding: An approach and a flexible implementation, IJRR, 9, 17\nAbidi, 1990, The use of multisensor data for robotic applications, IEEE Transactions on Robotics and Automation, 6, 159, 10.1109\u002F70.54732\nVernon, 1990, Using camera motion to estimate range for robotic parts manipulation, IEEE Transactions on Robotics and Automation, 6, 509, 10.1109\u002F70.62040\nGupta, 1990, Fast collision avoidance for manipulator arms: A sequential search stategy, IEEE Transactions on Robotics and Automation, 6, 522, 10.1109\u002F70.62041\nTrivedi, 1990, Developing robotic systems with multiple sensors, TSMC, 20, 1285\nAl-Hujazi, 1990, Range image segmentation with applications to robot bin-picking using vacuum gripper, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1313, 10.1109\u002F21.61203\nVolpe, 1990, Manipulator control with superquadric artificial potential functions: Theory and experiments, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1423, 10.1109\u002F21.61211\nM. K. Leung and T. S. Huang, Detecting wheels of vehicles in stereo images, Tenth International Conference on Pattern Recognition-A, 263–267.\nW. Hättich and H. Wandres, Automatic learning of structural models for workpiece recognition systems, Tenth International Conference on Pattern Recognition-A, 279–281.\nE. Persoon, G. Nijholt, G. Maguire, and J. O'Brien, Industrial image processing by means of an image recognition integrated system, Tenth International Conference on Pattern Recognition-D, 402–407.\nJ. Y. Hervé, P. Cucka, and R. Sharma, Qualitative visual control of a robot manipulator, Image Understanding Workshop, 895–908.\nP. Allen, B. Yoshimi, and A. Timcenko, Real-time visual servoing, Image Understanding Workshop, 909–918.\nJ. Hoshino, T, Uemura, and I. Masuda, Recognition-based reconstruction of an indoor scene using an integration of active and passive sensing techniques, Third International Conference on Computer Vision, 568–572.\nS. He, N. Abe, and T. Kitahashi, Understanding assembly illustrations in an assembly manual without any model of mechanical parts, Third International Conference on Computer Vision, 573–576.\nFaltings, 1990, Qualitative kinematics in mechanisms, Artificial Intelligence, 44, 89, 10.1016\u002F0004-3702(90)90099-L\nMeystel, 1989\n1990\nR. J. P. de Figuereido and W. E. Stoney, eds., Cooperative Intelligent Robots in Space (Boston, MA, November 6–7, 190), Proc. Society of Photo-Optical Instrumentation Engineers1387.\n1990, 1388\nMaravall, 1990, Guidance of an autonomous vehicle by visual feedback, Cybernetics Systems, 21, 257, 10.1080\u002F01969729008902239\nShiller, 1989, Robot path planning with obstacles, actuator, gripper, and payload constraints, IJRR, 8, 3\nKite, 1990, Determining the 3D position and orientation of a robot camera using 2D monocular vision, Pattern Recognition, 23, 819, 10.1016\u002F0031-3203(90)90129-9\nLiu, 1990, Determination of camera location from 2-D to 3-D line and point correspondence, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 28, 10.1109\u002F34.41381\nHussain, 1990, Real-time system for accurate three-dimensional position determination and verification, IEEE Transactions on Robotics and Automation, 6, 31, 10.1109\u002F70.88115\nArkin, 1990, Autonomous navigation in a manufacturing environment, IEEE Transactions on Robotics and Automation, 6, 445, 10.1109\u002F70.59355\nKabuka, 1990, A fault-tolerant architecture for an automatic vision-guided vehicle, IEEE Transactions on Systems, Man, and Cybernetics, 20, 380, 10.1109\u002F21.52549\nFeng, 1990, Satisficing feedback strategies for local navigation of autonomous mobile robots, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1383, 10.1109\u002F21.61208\nZaharakis, 1990, Time optimal robot navigation via the slack set method, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1396, 10.1109\u002F21.61209\nBorenstein, 1990, Teleautonomous guidance for mobile robots, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1437, 10.1109\u002F21.61212\nRao, 1990, Autonomous robot navigation in unknown terrains: Incidental learning and environmental exploration, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1443, 10.1109\u002F21.61213\nAsada, 1990, Representing global world of a mobile robot with relational local maps, v, 20, 1456\nL. Robert, R. Vaillant, and M. Schmitt, 3D-vision-based navigation: First steps, First European Conference on Computer Vision, 236–240.\nT. Zielke, K. Storjohann, H. A. Mallot, and W. von Seelen, Adapting computer vision systems to the visual environment: Topographic mapping, First European Conference on Computer Vision, 613–615.\nC. Fennema and A. R. Hanson, Experiments in autonomous navigation, Tenth International Conference on Pattern Recognition-A, 24–31.\nZ. Zhang and O. Faugeras, Building a 3D world model with a mobile robot: 3D line segment representation and integration, Tenth International Conference on Pattern Recognition-A, 38–42.\nC. Fennema and A. R. Hanson, Experiments in autonomous navigation, Image Understanding Workshop, 772–781.\nJ. W. Hong, X. Tan, B. Pinette, R. Weiss, and E. M. Riseman, Image-based navigation using 360 degree views, Image Understanding Workshop, 782–791.\nM. H. Soldo, Reactive and preplanned control in a mobile robot, Image Understanding Workshop, 792–794.\n(S. Li), S. Tsuji, and M. Imai, Determining camera rotation from vanishing points of lines on horizontal planes, Third International Conference on Computer Vision, 499–502.\n1990\n1990, 1301\n1990, 1304\n1990, 1305\n1990, 1306\n1990, 1310\n1990, 1342\nTomlin, 1990\nLiow, 1990, Use of shadows for extracting buildings in aerial images, Computer Vision, Graphics, and Image Processing, 49, 242, 10.1016\u002F0734-189X(90)90139-M\nHuertas, 1990, Detecting runways in complex airport scenes, Computer Vision, Graphics, and Image Processing, 51, 107, 10.1016\u002F0734-189X(90)90027-S\nTrivedi, 1990, Object detection by step-wise analysis of spectral, spatial, and topographic features, Computer Vision, Graphics, and Image Processing, 51, 235, 10.1016\u002F0734-189X(90)90002-D\nCarlotto, 1990, Toward the unsupervised interpretation of outdoor imagery, Journal of Visual Communication and Image Representation, 1, 158, 10.1016\u002F1047-3203(90)90005-G\nIrvin, 1989, Methods for exploiting the relationship between buildings and their shadows in aerial imagery, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1564, 10.1109\u002F21.44071\nLipari, 1989, Geometric modeling and recognition of elongated regions in aerial images, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1600, 10.1109\u002F21.44075\nV. Venkateswar and R. Chellappa, A framework for interpretation of aerial images, Tenth International Conference on Pattern Recognition-A, 204–206.\nP. Garnesson, G. Giraudon and P. Montesinos, An image analysis system, application for aerial imagery interpretation, Tenth International Conference on Pattern Recognition-A, 210–212.\nJ. Shufelt and D. M. McKeown, Fusion of monocular cues to detect man-made structures in aerial imagery, Image Understanding Workshop, 692–705.\nJ. Ming and B. Bhanu, A multistrategy learning approach for target model recognition, acquisition, and refinement, Image Understanding Workshop, 742–756.\nThorpe, 1990\n1990, 20, 1241\nLevitt, 1990, Qualitative navigation for mobile robots, Artificial Intelligence, 44, 305, 10.1016\u002F0004-3702(90)90027-W\nIshimura, 1990, Automatic fixing of ship position by simulation-and-matching, Computer Vision, Graphics, and Image Processing, 51, 38, 10.1016\u002FS0734-189X(05)80061-1\nBurger, 1990, Qualitative understanding of scene dynamics for mobile robots, IJRR, 9, 74\nMorgan, 1990, Road edge tracking for robot road following: A realtime implementation, Image and Vision Computing, 8, 233, 10.1016\u002F0262-8856(90)90070-L\nKue, 1990, A spatial sampling criterion for sonar obstacle detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 686, 10.1109\u002F34.56211\nKanatani, 1990, Reconstruction of 3-D road geometry from images for autonomous land vehicles, IEEE Transactions on Robotics and Automation, 6, 127, 10.1109\u002F70.88128\nBeckerman, 1990, Treatment of systematic errors in the processing of wide-angle sonar sensor data for robotic navigation, IEEE Transactions on Robotics and Automation, 6, 137, 10.1109\u002F70.54730\nDickinson, 1990, A flexible tool for prototyping ALV road following algorithms, IEEE Transactions on Robotics and Automation, 6, 232, 10.1109\u002F70.54738\nCheng, 1990, Concept development of automatic guidance for rotorcraft obstacle avoidance, IEEE Transactions on Robotics and Automation, 6, 252, 10.1109\u002F70.54741\nLumelsky, 1990, Dynamic path planning in sensor-based terrain acquisition, IEEE Transactions on Robotics and Automation, 6, 462, 10.1109\u002F70.59357\nRowe, 1990, Optimal grid-free path planning across arbitrarily contoured terrain with anisotropic friction and gravity effects, IEEE Transactions on Robotics and Automation, 6, 540, 10.1109\u002F70.62043\nSood, 1990, Computational perspective on perception, planning, action and systems integration, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1241\nArkin, 1990, The impact of cybernetics on the design of a mobile robot system: A case study, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1245, 10.1109\u002F21.61198\nDickmanns, 1990, An integrated spatio-temporal approach to automatic visual guidance of autonomous vehicles, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1273, 10.1109\u002F21.61200\nMorgenthaler, 1990, Range-video fusion and comparison of inverse perspective algorithms in static images, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1301, 10.1109\u002F21.61202\nAsada, 1990, Map building for a mobile robot from sensory data, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1326, 10.1109\u002F21.61204\nFennema, 1990, Model-directed mobile robot navigation, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1352, 10.1109\u002F21.61206\nPayton, 1990, Planguided reaction, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1370, 10.1109\u002F21.61207\nOskard, 1990, Real-time algorithms and data structures for underwater mapping, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1469, 10.1109\u002F21.61217\nR. A. Lotufo, B. T. Thomas and E. L. Dagless, Road following algorithm using a panned plan-view transformation, First European Conference on Computer Vision, 231–235.\nS. Carlsson and J. O. Eklundh, Object detection using model based prediction and motion parallax, First European Conference on Computer Vision, 297–306.\nJ. Y. Zhang and S. Tsuji, Panoramic representation of scenes for route understanding, Tenth International Conference on Pattern Recognition-A, 161–167.\nE. D. Dickmanns, Visual dynamic scene understanding exploiting high-level spatio-temporal models, Tenth International Conference on Pattern Recognition-D, 373–378.\nF. Aguirre, J. M. Boucher, and J. J. Jacq, Underwater navigation by video sequence analysis, Tenth International Conference on Pattern Recognition-D, 537–539.\nB. Roberts and B. Bhanu, Inertial navigation sensor integrated motion analysis for autonomous vehicle navigation, Image Understanding Workshop, 364–375.\nC. Thorpe and J. Gowdy, Annotated maps for autonomous land vehicles, Image Understanding Workshop, 765–771.\nJ. Y. Zheng, M. Barth, and S. Tsuji, Qualitative route scene description using autonomous landmark detection, Third International Conference on Computer Vision, 558–562.\nM. Mohnhaupt and B. Neumann, On the use of motion concepts for top-down control in traffic scenes, First European Conference on Computer Vision, 598–600.\nE. Nakamae, K. Kaneda, T. Okamoto, and T. Nishita, A lighting model aiming at drive simulators, SIGGRAPH'89 Conference, 395–404.\n1990\nHake, 1989, Parallel computing 89, Parallel Computing, 12, 387, 10.1016\u002F0167-8191(89)90096-3\n1990, 89\n1989\nHake, 1990, Supercomputing '89, Parallel Computing, 14, 123, 10.1016\u002F0167-8191(90)90101-E\n1990, 1246\n1990, 1295\n1990\n1990\n1990\n1990\n1990\n1990\n1990\nBlelloch, 1990\nChoudhary, 1990\n1990\n1989, 77, 1795\n1990, 8, 101\nDuncan, 1990, A survey of parallel computer architectures, Computer, 23, 5, 10.1109\u002F2.44900\nDasgupta, 1990, A hierarchical taxonomic system for computer architectures, Computer, 23, 64, 10.1109\u002F2.50273\nZubair, 1990, Embeddings on a Boolean cube, BIT, 30, 245, 10.1007\u002FBF02017346\nChean, 1990, A taxonomy of reconfiguration techniques for fault-tolerant processor arrays, Computer, 23, 55, 10.1109\u002F2.48799\nGinosar, 1989, Topological comparison of perfect shuffle and hypercube, Intl. J. Parallel Processing, 18, 37, 10.1007\u002FBF01409745\nWang, 1990, Two dimensional processor array with a reconfigurable bus system is at least as powerful as CRCW model, Information Processing Letters, 36, 31, 10.1016\u002F0020-0190(90)90182-W\nInoue, 1990, A note on timebounded bottom-up pyramid cellular acceptors, IS, 51, 121\nHo, 1990, Embedding meshes in Boolean cubes by graph decomposition, Journal of Parallel and Distributed Computing, 8, 325, 10.1016\u002F0743-7315(90)90131-8\nLai, 1990, Mapping pyramid algorithms into hypercubes, Journal of Parallel and Distributed Computing, 9, 42, 10.1016\u002F0743-7315(90)90110-B\nHung, 1990, Processing border codes on a mesh-connected computer, Journal of Parallel and Distributed Computing, 10, 18, 10.1016\u002F0743-7315(90)90002-7\nStout, 1990, Intensive hypercube communication—Prearranged communication in link-bound machines, Journal of Parallel and Distributed Computing, 10, 167, 10.1016\u002F0743-7315(90)90026-L\nHasselbring, 1990, CELIP: A cellular language for image processing, Parallel Computing, 14, 99, 10.1016\u002F0167-8191(90)90099-U\nHayes, 1989, Hypercube supercomputers, 77, 1829\nPotter, 1989, Array processor supercomputers, 77, 1896\nSiegel, 1989, Using the multistage cube network topology in parallel supercomputers, 77, 1932\nSher, 1990, A pyramid programming environment on the Connection Machine, Pattern Recognition Letters, 11, 241, 10.1016\u002F0167-8655(90)90062-7\nTeeuw, 1990, An algorithm for benchmarking an SIMD pyramid with the Abingdon Cross, Pattern Recognition Letters, 11, 501, 10.1016\u002F0167-8655(90)90086-H\nCulik, 1989, On the limit sets of cellular automata, SIAM Journal on Computing, 18, 831, 10.1137\u002F0218057\nWagner, 1990, Embedding trees in a hypercube is NP-complete, SIAM Journal on Computing, 19, 570, 10.1137\u002F0219038\nCypher, 1989, SIMD architectures and algorithms for image processing and computer vision, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 2158, 10.1109\u002F29.45558\nChen, 1990, Addressing, routing, and broadcasting in hexagonal mesh multiprocessors, IEEE Transactions on Computers, 39, 10, 10.1109\u002F12.46277\nMatic, 1990, Emulation of hypercube architecture on nearestneighbor mesh-connected processing elements, IEEE Transactions on Computers, 39, 698, 10.1109\u002F12.53582\nMeinem, 1990, Embedding rectangular grids into square grids with dilation two, IEEE Transactions on Computers, 39, 1446, 10.1109\u002F12.61064\nMilgram, 1990, Boundary detection and skeletonization with a massively parallel architecture, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 74, 10.1109\u002F34.41385\nIbarra, 1990, On mapping systolic algorithms onto the hypercube, IEEE Transactions on Parallel and Distributed Systems, 1, 48, 10.1109\u002F71.80124\nRanda, 1990, Odd even shifts in SIMD hypercubes, IEEE Transactions on Parallel and Distributed Systems, 1, 77, 10.1109\u002F71.80126\nJ. C. Klein, F. Collange and M. Bilodeau, A bit plane architecture for an image analysis processor implemented with P.L.C.A. gate array, First European Conference on Computer Vision, 33–49.\nN. Haddadi, K. Hwang and R. Chellappa, Viscom: An orthogonal multiprocessor for early vision and neural computing, Tenth International Conference on Pattern Recognition-D, 265–271.\nM. Tremblay and D. Poussart, MAR: An integrated system for focal plane edge tracking with parallel analog processing and built-in primitives for image acquisition and analysis, Tenth International Conference on Pattern Recognition-D, 292–298.\nL. S. Davis L. T. Chen and P. J. Narayanan, Connection Machine Vision—Replicated data structures, Tenth International Conference on Pattern Recognition-D, 299–304.\nM. H. Sunwoo and J. K. Aggarwal, A sliding memory plane array processor for low level vision, Tenth International Conference on Pattern Recognition-D, 312–317.\nR. Raghavan, K. K. Jung, and H. T. Nguyen, Fine grain parallel processors and real-time applications: MIMD controller\u002FSIMD array, Tenth International Conference on Pattern Recognition-D, 324–331.\nR. Barman, M. Bolotski, D. Camporese, and J. J. Little, Silt: The bit-parallel approach, Tenth International Conference on Pattern Recognition-D, 332–336.\nH. M. Alnuweiri and V. K. Prasanna Kumar, Optimal image algorithms on an orthogonally-connected memory-based architecture, Tenth International Conference on Pattern Recognition-D, 350–355.\nD. C. Gerogiannis and S. C. Orphanoudakis, Efficient embedding of interprocessor communications in parallel implementations of intermediate level vision tasks, Tenth International Conference on Pattern Recognition-D, 369–372.\nM. C. Herbordt, C. C. Weems, and D. B. Shu, Routing on the CAAPP, Tenth International Conference on Pattern Recognition-D, 467–471.\nD. Rana and C. C. Weems, The IUA feedback concentrator, Tenth International Conference on Pattern Recognition-D, 540–544.\nH. Vorhees, D. M. Fritzsche, and L. W. Tucker, Exploiting data parallelism in vision on the Connection Machine system, ICPR-D, 617–622.\nG. R. Nudd, T. J. Atherton, N. D. Francis, R. M. Howarth, D. J. Kerbyson, R. A. Packwood, and G. J. Vaudin, A hierarchical multiple-SIMD architecture for image analysis, ICPRD, 642–647.\nM. J. B. Duff and T. J. Fountain, Enhancing the two-dimensional mesh, ICPR-D, 654–659.\nM. C. Herbordt, C. C. Weems, and D. B. Shu, General routing on the lowest level of the Image Understanding Architecture, Image Understanding Workshop, 797–804.\nL. T. Chen and L. S. Davis, A parallel algorithm for list ranking image curves in O(logN) time, Image Understanding Workshop, 805–815.\nMorris, 1990, Image processing on the Macintosh, Computer, 23, 103\nZimmermann, 1990, The theory of acyclic systolic systems, Journal of Parallel and Distributed Computing, 9, 26, 10.1016\u002F0743-7315(90)90109-3\nParker, 1990, Design and analysis of a multiprocessor for image processing, Journal of Parallel and Distributed Computing, 9, 297, 10.1016\u002F0743-7315(90)90080-9\nSunwoo, 1990, Flexibly coupled multiprocessors for image processing, Journal of Parallel and Distributed Computing, 10, 115, 10.1016\u002F0743-7315(90)90021-G\nTanimoto, 1990, Architectures and algorithms for iconic-to-symbolic transformations, Pattern Recognition, 23, 1377, 10.1016\u002F0031-3203(90)90084-X\nCatthoor, 1990, Application-specific architectural methodologies for high-throughput digital signal and image processing, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 339, 10.1109\u002F29.103069\nSid-Ahmed, 1990, Serial architectures for the implementation of 2-D digital filters and for template matching in digital images, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 853, 10.1109\u002F29.56030\nDunn, 1990, DIS-IPLE: Digital Signal Processor Programming Language and Environment, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 2001, 10.1109\u002F29.103100\nLee, 1990, A system design\u002Fscheduling strategy for parallel image processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 194, 10.1109\u002F34.44405\nSerra, 1990, Low-cost hardware platform for developing realtime graphics, The Visual Computer, 6, 254, 10.1007\u002FBF01900748\nA. W. G. Duller, R. H. Storer, A. R. Thomson, M. R. Pout, and E. L. Dagless, A heterogeneous vision architecture, First European Conference on Computer Vision, 576–578.\nP. J. Burt and G. van der Wal, An architecture for multiresolution, focal, image analysis, ICPR-D, 305–311.\nF. J. Weil, L. H. Jamieson, and E. J. Delp, Dynamic intelligent scheduling and control of reconfigurable parallel architectures for computer vision\u002Fimage processing, ICPR-D, 318–323.\nC. C. Weems, D. Rana, A. R. Hanson, E. M. Riseman, D. B. Shu, and J. G. Nash, An overview of architecture research for image understanding at the University of Massachusetts, ICPR-D, 379–384.\nT. Fukushima, A survey of image processing LSIs in Japan, ICPR-D, 394–401.\nW. E. Blanz, B. Shung, C. Cox, W. Greiner, B. Dom, and D. Petkovic, Design and implementation of a low-level image segmentation architecture—LISA, ICPR-D, 413–421.\nM. Pietikäinen, T. Seppänen, and P. Alapuranen, A hybrid computer architecture for machine vision, ICPR-D, 426–431.\nA. Gunzinger, S. Mathis, and W. Guggenbühl, The SYnchronous DAtaflow MAchine: A computer architecture for real time image processing, ICPR-D, 436–441.\nK. Deguchi, K. Tago, and I. Morishita, Integrated parallel image processings on a pipelined MIMD multi-processor system PSM, ICPR-D, 442–444.\nH. Schomberg, A transputer-based shuffle-shift machine for image processing and reconstruction, ICPR-D, 445–450.\nV. Cantoni, L. Lombardi, and M. Ferretti, Hierarchical multi-microcomputer systems, ICPR-D, 476–478.\nR. Taniguchi and M. Amamiya, AMP: An autonomous multiprocessor for image processing and computer vision, ICPR-D, 497–500.\nA. Samal, Design of a dynamically reconfigurable, integrated, parallel vision system, ICPR-D, 521–523.\nC. T. Gray, W. Liu, T. Hughes, R. Cavin, and S. Chen, P3A: A partitionable parallel\u002Fpipeline architecture for real-time image processing, ICPR-D, 529–531.\nD. B. Shu, J. G. Nash, and C. C. Weems, A multiple-level heterogeneous architecture for image understanding, ICPR-D, 629–634.\nM. H. Sunwoo and J. K. Aggarwal, Vista for a general purpose computer vision system, ICPR-D, 635–641.\nC. H. Chien and L. J. Lin, PARADIGM: An architecture for distributed vision processing, ICPR-D, 648–653.\nTortora, 1990, Pyramidal algorithms for iconic indexing, Computer Vision, Graphics, and Image Processing, 52, 26, 10.1016\u002F0734-189X(90)90122-C\nLee, 1990, Access methods of image database, IJPRAI, 4, 27\nAzzarelli, 1990, Interactive processing and archiving of images, Image and Vision Computing, 8, 241, 10.1016\u002F0262-8856(90)90071-C\nPfeiffer, 1990, HCL: A language for low-level image analysis, Journal of Parallel and Distributed Computing, 8, 231, 10.1016\u002F0743-7315(90)90098-A\nLee, 1990, 2D C-string: A new spatial knowledge representation of image database systems, Pattern Recognition, 23, 1077, 10.1016\u002F0031-3203(90)90004-5\nTen Kate, 1990, SCILAIM: A multi-level interactive image processing environment, Pattern Recognition Letters, 11, 429, 10.1016\u002F0167-8655(90)90114-H\nP. Gemmar and G. Hofele, An object oriented approach for an iconic kernel system IKS, ICPR-C, 85–90.\nS. Y. Hwang and S. L. Tanimoto, Parallel coordination of image operators on shared-memory architecture, ICPR-D, 343–349.\nK. Wakimoto, M. Shima, S. Tanaka, and A. Maeda, An intelligent user interface to an image database using a figure interpretation method, ICPR-D, 516–520.\nM. Flickner, M. Lavin and S. Das, An object-oriented language for image and vision execution (OLIVE), ICPR-D, 561–571.\nH. Sato, H. Okazaki, T. Kawai, H. Yamamoto and H. Tamura, The VIEW-station environment: Tools and architecture for a platform-independent image-processing workstation, ICPR-D, 576–583.\nS. M. Dunn, Writing retargetable parallel programs for low and high level vision using a global address space, ICPR-D, 591–595.\nT. D. Williams, Image understanding tools, ICPR-D, 606–610.\nD. T. Lawton and D. M. Mead, A modular object oriented image understanding environment, ICPR-D, 611–616.\nJ. A. Webb, Architecture-independent global image processing, ICPR-D 623–628.\nT. S. Levitt, S. E. Johnston, S. Barclay, J. W. Dye, and D. T. Lawton, Progress toward an image understanding application development environment, Image Understanding Workshop, 115–130.\nVogt, 1989\n1990, 1350\nKoenderink, 1990, Receptive field families, Biological Cybernetics, 63, 291, 10.1007\u002FBF00203452\nRitter, 1990, Image algebra: An overview, Computer Vision, Graphics, and Image Processing, 49, 297, 10.1016\u002F0734-189X(90)90106-6\nHeijamans, 1990, The algebraic basis of mathematical morphology I. Dilations and erosions, Computer Vision, Graphics, and Image Processing, 50, 245, 10.1016\u002F0734-189X(90)90148-O\nSong, 1990, The analysis of morphological filters with multiple structuring elements, Computer Vision, Graphics, and Image Processing, 50, 308, 10.1016\u002F0734-189X(90)90150-T\nBigün, 1990, A structure feature for some image processing applications based on spiral functions, Computer Vision, Graphics, and Image Processing, 51, 166, 10.1016\u002F0734-189X(90)90029-U\nCooper, 1990, CASOP: A fast algorithm for computing the n-ary composition of a binary associative operator, Information Processing Letters, 34, 209, 10.1016\u002F0020-0190(90)90162-Q\nLenders, 1990, A programmable systolic device for image processing based on mathematical morphology, Parallel Computing, 13, 337, 10.1016\u002F0167-8191(90)90136-W\nSimoncelli, 1990, Non-separable extensions of quadrature mirror filters to multiple dimensions, 78, 652\nMaragos, 1990, Morphological systems for multidimensional signal processing, 78, 690\nToet, 1990, A hierarchical morphological image decomposition, Pattern Recognition Letters, 11, 267, 10.1016\u002F0167-8655(90)90065-A\nQian, 1990, Binary image processing by polynomial approach, Pattern Recognition Letters, 11, 395, 10.1016\u002F0167-8655(90)90110-N\nWan, 1990, N-dimensional symmetrics and their applications in digital filters, Signal Processing, 19, 103, 10.1016\u002F0165-1684(90)90034-V\nHaralick, 1989, The digital morphological sampling theorem, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 2067, 10.1109\u002F29.45553\nRanka, 1990, Convolution on mesh connected multicomputers, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 315, 10.1109\u002F34.49056\nMaragos, 1990, Threshold superposition in morphological image analysis systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 498, 10.1109\u002F34.55110\nWilson, 1989, Vector morphology and iconic neural networks, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1636, 10.1109\u002F21.44079\nE. R. Dougherty, Hausdorff-metric interpretation of convergence in the Matheron topology for binary mathematical morphology, ICPR-B, 870–875.\nK. Preston, Jr., Fundamentals of three-dimensional mathematical morphology, ICPR-D, 422–425.\nK. R. Namuduri, R. Mehrotra, and N. Ranganathan, Fast spatiotemporal filters, ICPR-D, 479–483.\nH. Yamada, K. Yamamoto, and M. Nakamura, Increasing the performance of MAP (multi-angled parallelism) erosiondilation for feature extraction through unary\u002Fbinary operations, ICPR-D, 524–528.\nH. Joo, R. M. Haralick, and L. G. Shapiro, Toward the automating of mathematical morphology procedures using predicate logic, Third International Conference on Computer Vision, 156–165.\nW. T. Freeman and E. H. Adelson, Steerable filters for early vision, image analysis, and wavelet decomposition, Third International Conference on Computer Vision, 406–415.\nWhite, 1990, Two methods of image extension, Computer Vision, Graphics, and Image Processing, 50, 342, 10.1016\u002F0734-189X(90)90152-L\nZakhor, 1990, Reconstruction of two-dimensional signals from level crossings, 79, 31\nMallat, 1989, Multifrequency channel decompositions of images and wavelet models, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 2091, 10.1109\u002F29.45554\nHummel, 1989, Reconstructions from zero crossings in scale space, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 2111, 10.1109\u002F29.45555\nWu, 1990, Scaling theorems for zero-crossings, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 46, 10.1109\u002F34.41383\nLindeberg, 1990, Scale-space for discrete signals, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 234, 10.1109\u002F34.49051\nMeer, 1990, The chain pyramid: Hierarchical contour processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 363, 10.1109\u002F34.50622\nSaund, 1990, Symbolic construction of a 2-D scale-space image, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 817, 10.1109\u002F34.57672\nZuerndorfer, 1990, Extensions of scalespace filtering to machine-sensing systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 868, 10.1109\u002F34.57682\nS. R. Curtis and A. V. Oppenheim, Reconstruction of multidimensional signals from zero crossings, IU89, 92–110.\nY. Y. Zeevi and S. Shamai (Shitz), Image representation by reference-signal crossings, IU89, 111–137.\nA. Montanvert, P. Meer and A. Rosenfeld, Hierarchical image analysis using irregular tessellations, First European Conference on Computer Vision, 28–32.\nA. D. Jepson and D. J. Fleet, Scale-space singularities, First European Conference on Computer Vision, 50–55.\nA. Montanvert, P. Meer and A. Rosenfeld, Irregular tessellation based image analysis, ICPR-B, 474–479.\nS. Mallat and S. Zhong, Signal characterization from multiscale edges, ICPR-B, 891–896.\nT. Wada and M. Sato, Scale-space tree and its hierarchy, ICPR-C, 103–108.\nG. Whitten, A framework for adaptive scale space tracking solutions to problems in computational vision, Third International Conference on Computer Vision, 210–220.\nS. Zhong and S. Mallat, Compact image representation from multiscale edges, Third International Conference on Computer Vision, 522–525.\nKarlsson, 1990, Theory of two-dimensional multirate fllterbanks, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 925, 10.1109\u002F29.56054\nT. Yamaguchi, Distortion-tolerance curve of the Neocognitron with various structures, including pyramid, ICPR-B, 918–922.\nWolberg, 1990\nDurand, 1989, Bit map transformations in computerized 2D animation, Computers and Graphics, 13, 433, 10.1016\u002F0097-8493(89)90004-6\nKornel, 1990, 2D and 3D perspective transformations, Computers and Graphics, 14, 117, 10.1016\u002F0097-8493(90)90015-P\nFrederick, 1990, Conformal image warping, IEEE Computer Graphics and Applications, 10, 54, 10.1109\u002F38.50673\nLi, 1990, Shape transformation models and their applications in pattern recognition, IJPRAI, 4, 65\nArabnia, 1990, A parallel algorithm for the arbitrary rotation of digitized images using process-and-data-decomposition approach, Journal of Parallel and Distributed Computing, 10, 188, 10.1016\u002F0743-7315(90)90028-N\nCheng, 1990, Parallel image transformation and its VLSI implementation, Pattern Recognition, 23, 1113, 10.1016\u002F0031-3203(90)90007-8\nLi, 1990, Discrete techniques for computer transformations of digital images and patterns, Pattern Recognition, 23, 1249, 10.1016\u002F0031-3203(90)90120-A\nParui, 1990, Some geometric operations on binary pictures and their shape preserving properties, Pattern Recognition Letters, 11, 355, 10.1016\u002F0167-8655(90)90045-4\nNicholl, 1990, Performing geometric transformations by program transformation, ACM Transactions on Graphics, 9, 28, 10.1145\u002F77635.77637\nLi, 1990, Splittingshooting methods for nonlinear transformations of digitized patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 671, 10.1109\u002F34.56210\nZ. C. Li, C. Y. Suen, T. D. Bui, and Q. L. Gu, Harmonic models of shape transformations in digital images and patterns, ICPR-C, 1–7.\nY. Y. Tang and C. Y. Suen, Nonlinear shape restoration by transformation models, ICPR-C, 14–19.\nM. Shizawa, Discrete invertible affine transformations, ICPR-C, 134–139.\nEl Tarazi, 1990, Quadratic spline interpolation on uniform methes, BIT, 30, 484, 10.1007\u002FBF01931662\nBao, 1989, Quadruple-step line generation, Computers and Graphics, 13, 461, 10.1016\u002F0097-8493(89)90007-1\nPham, 1989, quadratic B-splines for automatic curve and surface fitting, Computers and Graphics, 13, 471, 10.1016\u002F0097-8493(89)90008-3\nMathias, 1989, Systolic architectures in curve generation, Computers and Graphics, 13, 561, 10.1016\u002F0097-8493(89)90021-6\nWalton, 1990, Clothoidal splines, Computers and Graphics, 14, 95, 10.1016\u002F0097-8493(90)90013-N\nMick, 1990, Interpolation of helical patches by kinematic rational Bézier patches, Computers and Graphics, 14, 275, 10.1016\u002F0097-8493(90)90038-Y\nChu, 1990, B3-splines for interactive curve and surface fitting, Computers and Graphics, 14, 281, 10.1016\u002F0097-8493(90)90039-Z\nFletcher, 1990, Automatic tension adjustment for interpolatory splines, IEEE Computer Graphics and Applications, 10, 10, 10.1109\u002F38.45805\nBarsky, 1990, Geometric continuity of parametric curves: Constructions of geometrically continuous splines, IEEE Computer Graphics and Applications, 10, 60, 10.1109\u002F38.45811\nPang, 1990, Line-drawing algorithms for parallel machines, IEEE Computer Graphics and Applications, 10, 54, 10.1109\u002F38.59037\nWright, 1990, Parallelization of Bresenham's line and circle algorithms, IEEE Computer Graphics and Applications, 10, 60, 10.1109\u002F38.59038\nSchmidt, 1990, Shape preserving histopolation using rational quadratic splines, Computing, 44, 245, 10.1007\u002FBF02262220\nCappelo, 1990, Systolic computation of interpolating polynomials, Computing, 45, 95, 10.1007\u002FBF02247877\nLasser, 1990, Visually continuous quartics and quintics, Computing, 45, 119, 10.1007\u002FBF02247878\nLeung, 1990, Dynamic strip algorithm in curve fitting, Computer Vision, Graphics, and Image Processing, 51, 146, 10.1016\u002F0734-189X(90)90028-T\nHemminger, 1990, Polygonal representation: A maximum likelihood approach, Computer Vision, Graphics, and Image Processing, 52, 239, 10.1016\u002F0734-189X(90)90056-2\nGoshtasby, 1990, B-spline curves and surfaces viewed as digital filters, Computer Vision, Graphics, and Image Processing, 52, 264, 10.1016\u002F0734-189X(90)90058-4\nPorrill, 1990, Fitting ellipses and predicting confidence envelopes using a bias corrected Kalman filter, Image and Vision Computing, 8, 37, 10.1016\u002F0262-8856(90)90054-9\nEgecioglu, 1989, Fast computation of divided differences and parallel Hermite interpolation, J. Complexity, 5, 417, 10.1016\u002F0885-064X(89)90018-6\nLeung, 1990, Dynamic two-strip algorithm in curve fitting, Pattern Recognition, 23, 69, 10.1016\u002F0031-3203(90)90049-Q\nChuang, 1989, On local implicit approximation and its applications, ACM Transactions on Graphics, 8, 298, 10.1145\u002F77269.77272\nHohmeyer, 1989, Rational continuity: Parametric, geometric, and Frenet frame continuity of rational curves, ACM Transactions on Graphics, 8, 335, 10.1145\u002F77269.77274\nSaid, 1989, A generalized Ball curve and its recursive algorithm, ACM Transactions on Graphics, 8, 360, 10.1145\u002F77269.77275\nJoe, 1990, Knot insertion for beta-spline curves and surfaces, ACM Transactions on Graphics, 9, 41, 10.1145\u002F77635.77638\nHobby, 1990, Rasterization of nonparametric curves, ACM Transactions on Graphics, 9, 262, 10.1145\u002F78964.78966\nJoe, 1990, Quartic beta-splines, ACM Transactions on Graphics, 9, 301, 10.1145\u002F78964.78968\nRokne, 1990, Fast line scan-conversion, ACM Transactions on Graphics, 9, 376, 10.1145\u002F88560.88572\nDobkin, 1990, Contour tracing by piecewise linear approximations, ACM Transactions on Graphics, 9, 389, 10.1145\u002F88560.88575\nMathias, 1990, Systolic evaluation of polynomial expressions, IEEE Transactions on Computers, 39, 653, 10.1109\u002F12.53578\nVlassopoulos, 1990, Adaptive polygonization of parametric surfaces, The Visual Computer, 6, 291, 10.1007\u002FBF01900751\nP. Saint-Marc and G. Medioni, B-spline contour representation and symmetry detection, First European Conference on Computer Vision, 604–606.\nY. T. Zhou, Fitting smooth curves, ICPR-B, 455–459.\nK. Deguchi and S. Aoki, Regularized polygonal approximation for analysis and interpretation of planar contour figures, ICPR-B, 865–869.\nA. C. Barkans, High speed high quality antialiased vector generation, SIGGRAPH'89 Conference, 319–326.\nP. L. Rosin and G. A. W. West, Segmenting curves into elliptic arcs and straight lines, Third International Conference on Computer Vision, 75–78.\nS. Tehrani, T. E. Weymouth, and B. Schunck, Interpolating cubic spline contours by minimizing second derivative discontinuity, Third International Conference on Computer Vision, 713–716.\nGirosi, 1990, Networks and the best approximation property, Biological Cybernetics, 63, 169, 10.1007\u002FBF00195855\nKamgar-Parsi, 1990, Simultaneous fitting of several planes to point sets using neural networks, Computer Vision, Graphics, and Image Processing, 52, 341, 10.1016\u002F0734-189X(90)90080-F\nPoggio, 1990, Networks for approximation and learning, 78, 1481\nSparr, 1990, Discontinuity preserving visual reconstruction by means of potential theory, Pattern Recognition Letters, 11, 117, 10.1016\u002F0167-8655(90)90121-H\nAlder, 1990, Kohonen's algorithm for the numerical parameterisation of manifolds, Pattern Recognition Letters, 11, 313, 10.1016\u002F0167-8655(90)90040-9\nFathima, 1990, A maximum entropy approach to interpolation, Signal Processing, 21, 17, 10.1016\u002F0165-1684(90)90023-R\nKarayiannis, 1990, Regularization theory in image restoration—The stabilizing functional approach, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1155, 10.1109\u002F29.57544\nCristi, 1990, Markov and recursive least squares methods for the estimation of data with discontinuities, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1972, 10.1109\u002F29.103098\nJeng, 1990, Simulated annealing in compound Gaussian random fields, T-IT, 36, 94\nSimchony, 1990, Relaxation algorithms for MAP estimation of gray-level images with multiplicative noise, T-IT, 36, 608\nWeiss, 1990, Shape reconstruction on a varying mesh, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 345, 10.1109\u002F34.50621\nSimchony, 1990, Direct analytical methods for solving Poisson equations in computer vision problems, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 435, 10.1109\u002F34.55103\nSzeliski, 1990, Fast surface interpolation using hierarchical basis functions, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 513, 10.1109\u002F34.56188\nSilverman, 1990, The specification of edge penalties for regular and irregular pixel images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1017, 10.1109\u002F34.58874\nSimchony, 1989, Pyramid implementation of optimal-step conjugate-search algorithms for some low-level vision problems, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1408, 10.1109\u002F21.44062\nGamble, 1989, Integration of visual modules and labeling of surface discontinuities, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1576, 10.1109\u002F21.44072\nJ. L. Marroquin, A probabilistic approach to computational vision, IU89, 44–79.\nD. Geiger and F. Girosi, Parallel and deterministic algorithms from MRFs: Surface reconstruction and integration, First European Conference on Computer Vision, 89–98.\nD. Keren and M. Werman, Variations on regularization, ICPR-A, 93–98.\nX. Zhuang and R. M. Haralick, A highly robust estimator for computer vision, ICPR-B, 545–550.\nA. Rangarajan and R. Chellappa, Generalized graduated nonconvexity algorithm for maximum a posteriori image estimation, ICPR-C, 127–133.\nA. Waks, O. J. Tretiak, and G. K. Gregoriou, Restoration of noisy regions modeled by noncausal Markov random fields of unknown parameters, ICPR-C, 170–175.\nM. A. Snyder, The mathematical foundations of smoothness constraints: A new class of coupled constraints, Image Understanding Workshop, 154–161.\nP. Meer, D. Mintz, and A. Rosenfeld, Least median of squares based robust analysis of image structure, Image Understanding Workshop, 231–254.\nD. Mintz, P. Meer, and A. Rosenfeld, A fast, high breakdown point robust estimator for computer vision applications, Image Understanding Workshop, 255–257.\nT. Poggio and F. Girosi, Extensions of a theory of networks for approximation and learning: Dimensionality reduction and clustering, Image Understanding Workshop, 597–603.\nR. McKendall, Statistical decision theory for sensor fusion, Image Understanding Workshop, 861–866.\nG. Kamberova and M. Mintz, Robust multi-sensor fusion: A decision-theoretic approach, Image Understanding Workshop, 867–873.\nR. McKendall and M. Mintz, Non-monotonic decision rules for sensor fusion, Image Understanding Workshop, 874–880.\nR. L. Stevenson and E. J. J. Delp, Viewpoint invariant recovery, Third International Conference on Computer Vision, 309–312.\nS. Z. Li, Reconstruction without discontinuities, Third International Conference on Computer Vision, 709–712.\nX. Zhuang and R. M. Haralick, A neural net algorithm for maximum entropy image reconstruction, ICPR-C, 47–50.\nDanielsson, 1990, Rotation invariance in gradient and higher order derivative detectors, Computer Vision, Graphics, and Image Processing, 49, 198, 10.1016\u002F0734-189X(90)90137-K\nConnelly, 1990, A pyramid algorithm for fast curve extraction, Computer Vision, Graphics, and Image Processing, 49, 332, 10.1016\u002F0734-189X(90)90107-7\nSingh, 1990, Grey level corner detection: A generalization and a robust real time implementation, Computer Vision, Graphics, and Image Processing, 51, 54, 10.1016\u002FS0734-189X(05)80062-3\nNadler, 1990, A note on the coefficients of compass mask convolutions, Computer Vision, Graphics, and Image Processing, 51, 96, 10.1016\u002FS0734-189X(05)80065-9\nWilliams, 1990, Edge contours using multiple scales, Computer Vision, Graphics, and Image Processing, 51, 256, 10.1016\u002F0734-189X(90)90003-E\nUlupinar, 1990, Refining edges detected by a LoG operator, Computer Vision, Graphics, and Image Processing, 51, 275, 10.1016\u002F0734-189X(90)90004-F\nHarris, 1990, Analog hardware for detecting discontinuities in early vision, IJCV, 4, 211, 10.1007\u002FBF00054996\nShann, 1990, Novel approach to boundary finding, Image and Vision Computing, 8, 32, 10.1016\u002F0262-8856(90)90053-8\nColchester, 1990, Image segmentation using maximum gradient profiles orthogonal to edges, Image and Vision Computing, 8, 211, 10.1016\u002F0262-8856(90)90067-F\nLee, 1990, Discontinuity detection from band-limited signals, J. Complexity, 6, 170, 10.1016\u002F0885-064X(90)90005-X\nFua, 1990, Model driven edge detection, Machine Vision and Applications, 3, 45, 10.1007\u002FBF01211451\nShu, 1989, One-pixel-wide edge detection, Pattern Recognition, 22, 665, 10.1016\u002F0031-3203(89)90003-4\nHaralick, 1990, Context dependent edge detection and evaluation, Pattern Recognition, 23, 1, 10.1016\u002F0031-3203(90)90045-M\nCheng, 1990, VLSI curve detector, Pattern Recognition, 23, 35, 10.1016\u002F0031-3203(90)90047-O\nJohnson, 1990, Contrast based edge detection, Pattern Recognition, 23, 311, 10.1016\u002F0031-3203(90)90018-G\nStrickland, 1990, Edge detection in machine vision using a simple L1 norm template matching algorithm, Pattern Recognition, 23, 411, 10.1016\u002F0031-3203(90)90064-R\nKundu, 1990, Robust edge detection, Pattern Recognition, 23, 423, 10.1016\u002F0031-3203(90)90065-S\nLiu, 1990, Moment-preserving corner detection, Pattern Recognition, 23, 441, 10.1016\u002F0031-3203(90)90066-T\nBrooks, 1990, Robust techniques for edge detection in multiplicative Weibull image noise, Pattern Recognition, 23, 1047, 10.1016\u002F0031-3203(90)90001-2\nMehrotra, 1990, Corner detection, Pattern Recognition, 23, 1223, 10.1016\u002F0031-3203(90)90118-5\nJolion, 1990, Border delineation in image pyramids by concurrent tree growing, Pattern Recognition Letters, 11, 107, 10.1016\u002F0167-8655(90)90120-Q\nI. T. Lancaster and D. G. Elliman, A comparison of two algorithms for segmentation using edge detection techniques, Pattern Recognition Letters11, 175–180.\nGoodson, 1990, A knowledge based line recognition system, Pattern Recognition Letters, 11, 295, 10.1016\u002F0167-8655(90)90068-D\nVenkatesh, 1990, On the classification of image features, Pattern Recognition Letters, 11, 339, 10.1016\u002F0167-8655(90)90043-2\nLalitha, 1990, A new linear feature detection technique based on second order neighbors, Pattern Recognition Letters, 11, 561, 10.1016\u002F0167-8655(90)90027-Y\nPark, 1990, A Fourier interpretation of the Frei-Chen edge masks, Pattern Recognition Letters, 11, 631, 10.1016\u002F0167-8655(90)90016-U\nDeriche, 1990, Fast algorithms for low-level vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 78, 10.1109\u002F34.41386\nHancock, 1990, Edge-labeling using dictionary-based relaxation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 165, 10.1109\u002F34.44403\nPark, 1990, Comments on “A Three-Module Strategy for Edge Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 223, 10.1109\u002F34.44409\nLee, 1990, Coping with discontinuties in computer vision: Their detection, classification, and measurement, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 321, 10.1109\u002F34.50620\nGeman, 1990, Boundary detection by constrained optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 609, 10.1109\u002F34.56204\nPerona, 1990, Scale-space and edge detection using anisotropic diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 629, 10.1109\u002F34.56205\nN. Saito, and M. A. Cunningham, Generalized E-filter and its application to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence12, 814–817.\nPiech, 1990, Decomposing the Laplacian, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 830, 10.1109\u002F34.57673\nBell, 1990, Contour tracking and corner detection in a logic programming environment, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 913, 10.1109\u002F34.57685\nKahn, 1990, A fast line finder for vision-guided robot navigation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1088, 10.1109\u002F34.61710\nTagare, 1990, On the localization performance measure and optimal edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1186, 10.1109\u002F34.62607\nTan, 1989, A comparative cost function approach to edge detection, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1337, 10.1109\u002F21.44058\nBoldt, 1989, Token-based extraction of straight lines, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1581, 10.1109\u002F21.44073\nEichel, 1990, Quantitative analysis of a moment-based edge operator, IEEE Transactions on Systems, Man, and Cybernetics, 20, 59, 10.1109\u002F21.47809\nEom, 1990, Composite edge detection with random field models, IEEE Transactions on Systems, Man, and Cybernetics, 20, 81, 10.1109\u002F21.47811\nDattatreya, 1990, Detection and smoothing of edge contours in images by one-dimensional Kalman techniques, IEEE Transactions on Systems, Man, and Cybernetics, 20, 159, 10.1109\u002F21.47818\nG. Medioni, J. S. Chen, and F. Ulupinar, Accurate detection of edges with large Laplacian-of-Gaussian masks. IU89, 138–162.\nK. Brunnström, J. O. Eklundh, and T. Lindeberg, On scale and resolution in the analysis of local image structure, First European Conference on Computer Vision, 3–12.\nS. Castan, J. Zhao, and J. Shen, Optimal filter for edge detection [—] Methods and results, First European Conference on Computer Vision, 13–17.\nN. Nordstrom, Biased anisotropic diffusion—A unified regularization and diffusion approach to edge detection, First European Conference on Computer Vision, 18–27.\nO. Monga, R. Deriche, G. Malandain, and J. P. Cocquerez, Recursive filtering and edge closing: Two primary tools for 3D edge detection, First European Conference on Computer Vision, 56–65.\nD. J. Williams, and M. Shah, Edge contours using multiple scales, First European Conference on Computer Vision, 66–70.\nE. Z. Tihanyi, and J. L. Barron, Spatio-temporal edge focusing, ICPR-A, 213–216.\nT. Hwang, and J. J. Clark, A spatio-temporal generalization of Canny's edge detector, ICPR-A, 314–318.\nI. J. Cox, R. A. Boie, and D. A. Wallach, Line recognition, ICPR-B, 639–645.\nO. Monga, R. Deriche, G. Malandain, and J. P. Cocquerez, 3D edge detection by separable recursive filtering and edge closing, ICPR-B, 652–654.\nM. Chen, D. Lee, and T. Pavlidis, Some results on feature detection using residual analysis, ICPR-B, 668–670.\nM. Gökmen, and C. C. Li, Edge detection with iteratively refined regularization, ICPR-B, 690–693.\nS. Castan, J. Zhao, and J. Shen, New edge detection methods based on exponential filter, ICPR-B, 709–711.\nJ. M. Coggins, Measuring image structures using multiscale orientation field, ICPR-B, 720–722.\nV. Lacroix, The primary raster: A multiresolution image description, ICPR-B, 903–907.\nS. Sarkar, and K. L. Boyer, Optimal, efficient, recursive edge detection filters, ICPR-B, 931–936.\nD. J. Williams, and M. Shah, Normalized edge detector, ICPR-B, 942–946.\nS. E. Reichenbach, S. K. Park, and R. Alter-Gartenberg, Optimal, small kernels for edge detection, ICPR-C, 57–63.\nP. Meer, and I. Weiss, Smoothed differentiation filters for images, ICPR-C, 121–126.\nP. Perona, and J. Malik, Detecting and localizing edges composed of steps, peaks and roofs, Third International Conference on Computer Vision, 52–57.\nM. M. Fleck, Multiple widths yield reliable finite differences, Third International Conference on Computer Vision, 58–61.\nD. Reisfeld, H. Wolfson, and Y. Yeshurun, Detection of interest points using symmetry, Third International Conference on Computer Vision, 62–65.\nR. Deriche, and G. Giraudon, Accurate corner detection: An analytical study, Third International Conference on Computer Vision, 66–70.\nJ. H. Han, Detection of convex and concave discontinuous points in a plane curve, Third International Conference on Computer Vision, 71–74.\nD. Gutfinger, R. Nishimura, H. Doi, and J. Sklansky, Robust curve detection by temporal geodesics, Third International Conference on Computer Vision, 752–756.\nBaronti, 1990, Variable pyramid structures for image segmentation, Computer Vision, Graphics, and Image Processing, 49, 346, 10.1016\u002F0734-189X(90)90108-8\nLee, 1990, A comparative performance study of several global thresholding techniques for segmentation, Computer Vision, Graphics, and Image Processing, 52, 171, 10.1016\u002F0734-189X(90)90053-X\nChou, 1990, The theory and practice of Bayesian image labeling, IJCV, 4, 185, 10.1007\u002FBF00054995\nKeller, 1990, Image segmentation in the presence of uncertainty, Intl. J. Intelligent Systems, 5, 193, 10.1002\u002Fint.4550050205\nRosenfeld, 1990, Pyramid algorithms for finding global structures in images, IS, 50, 23\nChoo, 1990, Image segmentation for complex natural scenes, Image and Vision Computing, 8, 155, 10.1016\u002F0262-8856(90)90031-Y\nWillebeek-LeMair, 1990, Solving nonuniform problems on SIMD computers: Case study on region growing, Journal of Parallel and Distributed Computing, 8, 135, 10.1016\u002F0743-7315(90)90088-7\nMeyer, 1990, Morphological segmentation, Journal of Visual Communication and Image Representation, 1, 21, 10.1016\u002F1047-3203(90)90014-M\nSong, 1990, Multiresolution image dynamic thresholding, Machine Vision and Applications, 3, 13, 10.1007\u002FBF01211448\nBhanu, 1990, VLSI design and implementation of a real-time image segmentation processor, Machine Vision and Applications, 3, 21, 10.1007\u002FBF01211450\nSpann, 1989, Image segmentation using a dynamic thresholding pyramid, Pattern Recognition, 22, 719, 10.1016\u002F0031-3203(89)90008-3\nChu, 1990, Image segmentation using laser radar data, Pattern Recognition, 23, 569, 10.1016\u002F0031-3203(90)90035-J\nAsar, 1990, Pyramid-based image segmentation using multisensory data, Pattern Recognition, 23, 583, 10.1016\u002F0031-3203(90)90036-K\nKhotanzad, 1990, Image segmentation by a parallel, non-parametric histogram based clustering algorithm, Pattern Recognition, 23, 961, 10.1016\u002F0031-3203(90)90105-T\nKarssemeijer, 1990, A relaxation method for image segmentation using a spatially dependent stochastic model, Pattern Recognition Letters, 11, 13, 10.1016\u002F0167-8655(90)90051-3\nMurthy, 1990, Fuzzy thresholding: Mathematical framework, bound functions and weighted moving average technique, Pattern Recognition Letters, 11, 197, 10.1016\u002F0167-8655(90)90006-N\nBister, 1990, A critical view of pyramid segmentation algorithms, Pattern Recognition Letters, 11, 605, 10.1016\u002F0167-8655(90)90013-R\nCseke, 1990, Comments on gray-level thresholding of images using a correlation criterion, Pattern Recognition Letters, 11, 709, 10.1016\u002F0167-8655(90)90105-B\nMester, 1990, Region based image segmentation using stochastic image models, Signal Processing, 19, 343, 10.1016\u002F0165-1684(90)90163-S\nSoille, 1990, Automated basin delineation from digital elevation models using mathematical morphology, Signal Processing, 20, 171, 10.1016\u002F0165-1684(90)90127-K\nPavlidis, 1990, Integrating region growing and edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 225, 10.1109\u002F34.49050\nLifshitz, 1990, A multiresolution hierarchical approach to image segmentation based on intensity extrema, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 529, 10.1109\u002F34.56189\nChen, 1990, Image seaming for segmentation on parallel architecture, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 588, 10.1109\u002F34.56195\nAmini, 1990, Using dynamic programming for solving variational problems in vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 855, 10.1109\u002F34.57681\nHaddon, 1990, Image segmentation by unifying region and boundary information, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 929, 10.1109\u002F34.58867\nZhang, 1990, A model-fitting approach to cluster validation with application to stochastic model-based image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1009, 10.1109\u002F34.58873\nLee, 1990, Comments on “An optimal multiple threshold scheme for image segmentation.”, IEEE Transactions on Systems, Man, and Cybernetics, 20, 741, 10.1109\u002F21.57290\nMagid, 1990, Comment on “Picture thresholding using an iterative selection method”, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1238, 10.1109\u002F21.59988\nD. Mumford, and J. Shah. Boundary detection by minimizing functionals, I, IU89, 19–43.\nA. Rosenfeld, Divide-and-conquer techniques for detecting and describing global features in images, IU89, 80–91.\nM. O. Berger, Snake growing, First European Conference on Computer Vision, 570–572.\nP. Hanusse, and P. Guillataud, Object detection and identification by hierarchical segmentation, First European Conference on Computer Vision, 583–585.\nD. Geiger, and A. Yuille, A common framework for image segmentation, ICPR-B, 502–507.\nD. Keren, R. Marcus, M. Werman, and S. Peleg, Segmentation by minimum length encoding, ICPR-B, 681–683.\nR. C. Dubes, A. K. Jain, S. G. Nadabar, and C. C. Chen, MRF model-based algorithms for image segmentation, ICPR-B, 808–814.\nJ. Shah, Parameter estimation, multiscale representation and algorithms for energy-minimizing segmentations, ICPR-B, 815–819.\nG. Roth, and M. D. Levine, Segmentation of geometric signals using robust fitting, ICPR-B. 826–831.\nM. O. Berger, and R. Mohr, Towards autonomy in active contour models, ICPR-B, 847–851.\nN. Babaguchi, K. Yamada, K. Kise, and Y. Tezuka, Connectionist model binarization, ICPR-C, 51–56.\nW. E. Blanz, and S. L. Gish, A connectionist classifier architecture applied to image segmentation, ICPR-D, 272–277.\nA. Tyagi, and M. Bayoumi, Systolic array implementation of image segmentation by a directed split and merge procedure. ICPR-D, 491–493.\nG. Healey, and B. Dom, Pattern classification algorithms for real-time image segmentation, ICPR-D, 545–550.\nY. G. Leclerc, Region grouping using the Minimum-Description-Length Principle, Image Understanding Workshop, 473–481.\nB. Bhanu, S. Lee, and J. Ming, Self-optimizing control system for adaptive image segmentation, Image Understanding Workshop, 583–596.\nS. Menet, P. Saint-Marc, and G. Medioni, B-snakes: Implementation and application to stereo, Image Understanding Workshop, 720–726.\nT. Darrell, S. Sclaroff, and A. Pentland, Segmentation by minimal description, Third International Conference on Computer Vision, 112–116.\nC. C. Chu, and J. K. Aggarwal, The integration of region and edge-based segmentation, Third International Conference on Computer Vision, 117–120.\nA. Leonardis, A. Gupta, and R. Bajcsy, Segmentation as the search for the best description of the image in terms of primitives, Third International Conference on Computer Vision, 121–125.\nL. R. Williams, Perceptual organization of occluding contours, Third International Conference on Computer Vision, 133–137.\nM. Nitzberg, and D. Mumford, The 2.1-D sketch, Third International Conference on Computer Vision, 138–144.\nT. Lindeberg, and J. O. Eklundh, Scale detection and region extraction from a scale-space primal sketch, Third International Conference on Computer Vision, 416–426.\nL. D. Cohen, and I. Cohen, A finite element method applied to new active contour models and 3D reconstruction from cross sections, Third International Conference on Computer VisionThird International Conference on Computer Vision, 587–591.\nD. J. Williams, and M. Shah, A fast algorithm for active contours, Third International Conference on Computer Vision, 592–595.\nReiter, 1989, A logical framework for depiction and image interpretation, AI, 41, 125\nTsotsos, 1990, Analyzing vision at the complexity level, Behavioral and Brain Sciences, 13, 423, 10.1017\u002FS0140525X00079577\nMeisels, 1990, Symbolic reasoning in object extraction, Computer Vision, Graphics, and Image Processing, 52, 447, 10.1016\u002F0734-189X(90)90087-C\nBurger, 1990, On machine vision and CAST, Cybernetics Systems, 21, 221, 10.1080\u002F01969729008902235\nSteinby, 1990, A formal theory of errors in tree representations of patterns, EIK, 26, 19\nCameron, 1990, A Bayesian approach to optimal sensor placement, IJRR, 9, 70\nJiang, 1990, A systematic methodology for determining\u002Foptimizing a machine vision system's capability, Machine Vision and Applications, 3, 169, 10.1007\u002FBF01214429\nAnkenbrandt, 1990, Scene recognition using genetic algorithms with semantic nets, Pattern Recognition Letters, 11, 285, 10.1016\u002F0167-8655(90)90067-C\nNiemann, 1990, ERNEST: A semantic network system for pattern understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 883, 10.1109\u002F34.57683\nG. M. Provan, An analysis of knowledge representation schemes for high level vision, First European Conference on Computer Vision, 537–541.\nP. Garnesson and G. Giraudon, Spatial context in an image analysis system, First European Conference on Computer Vision, 579–582.\nA. Califano, R. Kjeldsen, and R. M. Bolle, Data and model driven foveation, ICPR-A, 1–7.\nJ. Qian and R. W. Ehrich, A framework for uncertainty reasoning in hierarchical visual evidence space, ICPR-A, 119–124.\nK. Rao and R. Nevatia, Shape description from imperfect and incomplete data, ICPR-A, 125–129.\nY. Nakamura, S. Abe, Y. Ohsawa, and M. Sakauchi, Data structures for multi-layer N-dimensional data using hierarchical structure, ICPR-C, 97–102.\nG. H. Granlund and H. Knutsson, Compact associative representation of visual information, ICPR-C, 200–207.\nV. Cappellini, A. Del Bimbo, and P. Nesi, Integrating object oriented programming paradigm concepts in designing a vision and pattern recognition system architecture, ICPR-D, 572–575.\n1989\n1989, IJPRAI, 3, 279\nNivat, 1989, Parallel generation of finite images, IJPRAI, 3, 279\nYamamoto, 1989, Context-sensitivity of two-dimensional regular array grammars, IJPRAI, 3, 295\nLee, 1989, Generating rectangles using two-dimensional grammars, with time and space complexity analysis, IJPRAI, 3, 321\nSubramanian, 1989, Siromoney array grammars and applications, IJPRAI, 3, 333\nMorita, 1989, Two-dimensional three-way array grammars and their acceptors, IJPRAI, 3, 353\nLin, 1989, Pushdown recognizers for array patterns, IJPRAI, 3, 377\nIto, 1989, The simulation of two-dimensional one-marker automata by three-way Turing machines, IJPRAI, 3, 393\nKrithivasan, 1989, Systolic pyramid automata, cellular automata and array languages, IJPRAI, 3, 405\nRosenfeld, 1989, Coordinate grammars revisited: Generalized isometric grammars, IJPRAI, 3, 435\nNakamura, 1989, Relationship between coordinate grammars and path controlled graph grammars, IJPRAI, 3, 445\nSaoudi, 1989, Finite images generated by GL-systems, IJPRAI, 3, 459\nAizawa, 1989, Grammars on the hexagonal array, IJPRAI, 3, 469\nAso, 1989, Representation of iterative patterns, IJPRAI, 3, 479\nSiromoney, 1989, Encryption-decryption techniques for pictures, IJPRAI, 3, 497\nKim, 1990, Picture iteration and picture ambiguity, Journal of Computer and System Sciences, 40, 289, 10.1016\u002F0022-0000(90)90001-2\nPeng, 1990, A new parsing scheme for plex grammars, Pattern Recognition, 23, 393, 10.1016\u002F0031-3203(90)90026-H\nFlasinski, 1990, Distorted pattern analysis with the help of node label controlled graph languages, Pattern Recognition, 23, 765, 10.1016\u002F0031-3203(90)90099-7\nWojcik, 1990, A rough grammar for a linguistic recognition of surface patches, Signal Processing, 19, 119, 10.1016\u002F0165-1684(90)90035-W\nGutbrod, 1989, A transformation system for generating description languages of chain code pictures, Theoretical Computer Science, 68, 239, 10.1016\u002F0304-3975(89)90162-X\nKim, 1990, Complexity and decidability for restricted classes of picture languages, Theoretical Computer Science, 73, 295, 10.1016\u002F0304-3975(90)90180-P\nS. Truvé, Image interpretation using multi-relational grammars, Third International Conference on Computer Vision, 146–155.\nFalkowski, 1990, Perceptrons revisited, Information Processing Letters, 36, 207, 10.1016\u002F0020-0190(90)90075-9\nShvaytser, 1990, Learnable and nonlearnable visual concepts, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 459, 10.1109\u002F34.55105\nKamada, 1989\nBregman, 1990\nToennies, 1990, Registration of 3D objects and surfaces, IEEE Computer Graphics and Applications, 10, 52, 10.1109\u002F38.55153\nMargalit, 1990, Using probabilistic domain knowledge to reduce the expected computational cost of template matching, Computer Vision, Graphics, and Image Processing, 51, 219, 10.1016\u002F0734-189X(90)90001-C\nMargalit, 1990, Using feature probabilities to reduce the expected computational cost of template matching, Computer Vision, Graphics, and Image Processing, 52, 110, 10.1016\u002F0734-189X(90)90125-F\nGrosky, 1990, Index-based object recognition in pictorial data management, Computer Vision, Graphics, and Image Processing, 52, 416, 10.1016\u002F0734-189X(90)90085-A\nLee, 1990, A knowledge-based system for the image correspondence problem, IJPRAI, 4, 45\nBerman, 1990, Generalized planar matching, J. Algorithms, 11, 153, 10.1016\u002F0196-6774(90)90001-U\nRanka, 1990, Image template matching on MIMD hypercube multicomputers, Journal of Parallel and Distributed Computing, 10, 79, 10.1016\u002F0743-7315(90)90008-D\nToet, 1990, Hierarchical image fusion, Machine Vision and Applications, 3, 1, 10.1007\u002FBF01211447\nShih, 1990, A parallel algorithm for finding congruent regions, Parallel Computing, 13, 135, 10.1016\u002F0167-8191(90)90142-V\nLee, 1989, Similarity retrieval of iconic image database, Pattern Recognition, 22, 675, 10.1016\u002F0031-3203(89)90004-6\nHan, 1990, The use of maximum curvature points for the recognition of partially occluded objects, Pattern Recognition, 23, 21, 10.1016\u002F0031-3203(90)90046-N\nRaiha, 1990, Approximate sequence comparison: A study with histograms, Pattern Recognition, 23, 159, 10.1016\u002F0031-3203(90)90056-Q\nGriffin, 1990, A methodology for pattern matching of complex objects, Pattern Recognition, 23, 245, 10.1016\u002F0031-3203(90)90012-A\nChou, 1990, Moment-preserving pattern matching, Pattern Recognition, 23, 461, 10.1016\u002F0031-3203(90)90067-U\nChaudhury, 1990, Recognition of occluded objects with heuristic search, Pattern Recognition, 23, 617, 10.1016\u002F0031-3203(90)90038-M\nGupta, 1990, Robust partial shape classification using invariant breakpoints and dynamic alignment, Pattern Recognition, 23, 1103, 10.1016\u002F0031-3203(90)90006-7\nLong, 1990, Stationary background generation: An alternative to the difference of two images, Pattern Recognition, 23, 1351, 10.1016\u002F0031-3203(90)90081-U\nKoch, 1989, Matching polygon fragments, Pattern Recognition Letters, 10, 297, 10.1016\u002F0167-8655(89)90032-9\nLee, 1989, Relaxation algorithm for shape matching of two-dimensional objects, Pattern Recognition Letters, 10, 309, 10.1016\u002F0167-8655(89)90033-0\nCiuti, 1990, An algorithm for the localization of rotated and scaled objects, Pattern Recognition Letters, 11, 59, 10.1016\u002F0167-8655(90)90056-8\nLee, 1990, Line-based structural matching via segment splitting, Pattern Recognition Letters, 11, 181, 10.1016\u002F0167-8655(90)90004-L\nMargalit, 1990, Reducing the expected computational cost of template matching using run length representation, Pattern Recognition Letters, 11, 255, 10.1016\u002F0167-8655(90)90064-9\nBengtsson, 1990, Stochastic optimization algorithms—An application to pattern matching, Pattern Recognition Letters, 11, 717, 10.1016\u002F0167-8655(90)90090-O\nFrieze, 1990, Greedy matching on the line, SIAM Journal on Computing, 19, 666, 10.1137\u002F0219045\nZapata, 1990, Image template matching on hypercube SIMD computers, Signal Processing, 21, 49, 10.1016\u002F0165-1684(90)90026-U\nHeitz, 1990, Event detection in multisource imaging: Application to fine arts painting analysis, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 695, 10.1109\u002F29.52709\nReed, 1990, Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1760, 10.1109\u002F29.60107\nH. J. Wolfson, On curve matching, IEEE Transactions on Pattern Analysis and Machine Intelligence12, 483–489.\nSchmidt, 1990, Modified matched filter for cloud clutter suppression, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 594, 10.1109\u002F34.56196\nCox, 1990, Predicting and estimating the accuracy of a subpixel registration algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 721, 10.1109\u002F34.57665\nPölzleitner, 1990, Selective and focused invariant recognition using distributed associative memories (DAM), IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 809, 10.1109\u002F34.57670\nLiu, 1990, Partial shape classification using contour matching in distance transformation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1072, 10.1109\u002F34.61706\nRodriguez, 1990, Matching aerial images to 3-D terrain maps, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1138, 10.1109\u002F34.62603\nBose, 1990, Design of fiducials for accurate registration using machine vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1196, 10.1109\u002F34.62609\nMintz, 1990, Comments on “Dynamic multi-sensor data fusion system for intelligent robots”, IEEE Transactions on Robotics and Automation, 6, 104, 10.1109\u002F70.88122\nSkinner, 1990, Application of adaptive convolution masking to the automation of visual inspection, IEEE Transactions on Robotics and Automation, 6, 123, 10.1109\u002F70.88127\nBrandt, 1989, The recognition of shapes in binary images using a gradient classifier, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1595, 10.1109\u002F21.44074\nTahani, 1990, Information fusion in computer vision using the fuzzy integral, IEEE Transactions on Systems, Man, and Cybernetics, 20, 733, 10.1109\u002F21.57289\nHirai, 1990, Position independent pattern matching by neural network, IEEE Transactions on Systems, Man, and Cybernetics, 20, 816, 10.1109\u002F21.105081\nO. Bernander and C. Koch, Local cross-modality image alignment using unsupervised learning, First European Conference on Computer Vision, 573–575.\nE. Kishon, T. Hastie, and H. Wolfson, 3-D curve matching using splines, First European Conference on Computer Vision, 589–591.\nJ. R. Beveridge, R. Weiss, and E. M. Riseman, Combinatorial optimization applied to variable scale 2D model matching, ICPR-A, 18–23.\nM. S. Costa, R. M. Haralick, and L. G. Shapiro. Optimal affine-invariant point matching, ICPR-A. 233–236.\nX. Wang, J. Fu, and L. Wu, A matching algorithm based on hierarchical primitive structure, ICPR-A, 285–287.\nT. Wakahara, Dot image matching using local affine transformation, ICPR-B, 837–841.\nY. Wu and H. Maitre, Registration of a SPOT image and a SAR image using multiresolution representation of a coastline, ICPR-B, 913–917.\nC. Chakrabarti and J. F. JáJá, A parallel algorithm for template matching on an SIMD mesh connected computer, ICPR-D, 361–367.\nI. Dinstein and G. M. Landau, Using parallel string matching algorithms for contour based 2-D shape recognition, ICPR-D, 451–455.\nC. Reinhart and R. Nevatia, Efficient parallel processing in high level vision, Image Understanding Workshop, 829–839.\nJ. Weng, A theory of image matching, Third International Conference on Computer Vision, 200–209.\nH. Shvaytser (Schweitzer), Towards a computational theory of model based vision and perception, Third International Conference on Computer Vision, 283–286.\nN. M. Nasrabadi, W. Li, and C. Y. Choo, Object recognition by a Hopfield neural network, Third International Conference on Computer Vision, 325–328.\nW. E. L. Grimson and D. P. Huttenlocher, On the sensitivity of geometric hashing, Third International Conference on Computer Vision, 334–338.\nT. A. Cass, Feature matching for object localization in the presence of uncertainty, Third International Conference on Computer Vision, 360–364.\nJ. Henikoff and L. G. Shapiro, Interesting patterns for model-based machine vision, Third International Conference on Computer Vision, 535–538.\nPrincen, 1990, A hierarchical approach to line extraction based on the Hough transform, Computer Vision, Graphics, and Image Processing, 52, 57, 10.1016\u002F0734-189X(90)90123-D\nHunt, 1990, Hough transform and signal detection theory performance for images with additive noise, Computer Vision, Graphics, and Image Processing, 52, 386, 10.1016\u002F0734-189X(90)90082-7\nBen-Tzvi, 1990, Synchronous multi-processor implementation of the Hough transform, Computer Vision, Graphics, and Image Processing, 52, 437, 10.1016\u002F0734-189X(90)90086-B\nKannan, 1990, Fast Hough transform on a mesh connected processor array, Information Processing Letters, 33, 243, 10.1016\u002F0020-0190(90)90192-Z\nYuen, 1989, Comparative study of Hough transform methods for circle finding, Image and Vision Computing, 8, 71, 10.1016\u002F0262-8856(90)90059-E\nNiblack, 1990, On improving the accuracy of the Hough transform, Machine Vision and Applications, 3, 87, 10.1007\u002FBF01212193\nBongiovanni, 1990, Computing the Hough transform on a pyramid architecture, Machine Vision and Applications, 3, 117, 10.1007\u002FBF01212195\nLi, 1989, Improvements and systolic implementation of the Hough transformation for straight line detection, Pattern Recognition, 22, 697, 10.1016\u002F0031-3203(89)90006-X\nLie, 1990, Robust line-drawing extraction from polyhedra using weighted polarized Hough transform, Pattern Recognition, 23, 261, 10.1016\u002F0031-3203(90)90014-C\nHsu, 1990, Partitioned Hough transform for ellipsoid detection, Pattern Recognition, 23, 275, 10.1016\u002F0031-3203(90)90015-D\nKenzie, 1990, Curve description using the inverse Hough transform, Pattern Recognition, 23, 283, 10.1016\u002F0031-3203(90)90016-E\nDa Fontoura Costa, 1989, A binary Hough transform and its efficient implementation in a systolic array architecture, Pattern Recognition Letters, 10, 329, 10.1016\u002F0167-8655(89)90036-6\nBen-Tzvi, 1990, A combinatorial Hough transform, Pattern Recognition Letters, 11, 167, 10.1016\u002F0167-8655(90)90002-J\nUllmann, 1990, Generalized Hough accumulator space compactification by superimposed coding, Pattern Recognition Letters, 11, 321, 10.1016\u002F0167-8655(90)90041-Y\nXu, 1990, A new curve detection method: Randomized Hough transform, Pattern Recognition Letters, 11, 331, 10.1016\u002F0167-8655(90)90042-Z\nJeng, 1990, Fast generalized Hough transform, Pattern Recognition Letters, 11, 725, 10.1016\u002F0167-8655(90)90091-F\nCypher, 1990, The Hough transform has O(N) complexity on N × N mesh connected computers, SIAM Journal on Computing, 19, 805, 10.1137\u002F0219056\nNixon, 1990, Improving an extended version of the Hough transform, Signal Processing, 19, 321, 10.1016\u002F0165-1684(90)90161-Q\nGrimson, 1990, On the sensitivity of the Hough transform for object recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 255, 10.1109\u002F34.49052\nV. F. Leavers, The dynamic generalized Hough transform, First European Conference on Computer Vision, 592–594.\nD. Pao, M. F. Li, and R. Jayakumar, Detecting parametric curves using the straight line Hough transform, ICPR-B, 620–625.\nU. Eckhardt and G. Maderlechner, A general approach for parametrizing the Hough transform, ICPR-B, 626–630.\nP. Kultanen, L. Xu, and E. Oja, Randomized Hough transform (RHT), ICPR-B, 631–635.\nD. B. Shu, J. G. Nash, M. M. Eshaghian, and K. Kim, Straight-line detection on a gated-connection VLSI network, ICPR-D, 456–461.\nM. G. Albanesi and M. Ferretti, A space saving approach to the Hough transform, ICPR-D, 472–475.\nN. D. Francis, G. R. Nudd, T. J. Atherton, D. J. Kerbyson, R. A. Packwood, and J. Vaudin, Performance evaluation of the hierarchical Hough transform on an associative M-SIMD architecture, ICPR-D, 509–511.\nJ. Princen, J. Illingworth, and J. Kittler, Hypothesis testing: A framework for analysing and optimising Hough transform performance, Third International Conference on Computer Vision, 427–434.\nH. Koshimizu and M. Numada, On the extensive reconstruction of Hough transforms, Third International Conference on Computer Vision, 740–743.\nX. Cao and F. Deravi, An efficient method for multiple-circle detection, Third International Conference on Computer Vision, 744–747.\nP. Liang, A new transform for curve detection, Third International Conference on Computer Vision, 748–751.\nUkkonen, 1990, A linear-time algorithm for finding approximate shortest common superstrings, Algorithmica, 5, 313, 10.1007\u002FBF01840391\nSunday, 1990, A very fast substring search algorithm, Comm. ACM, 33, 132, 10.1145\u002F79173.79184\nGrossi, 1989, Simple and efficient string matching with k mismatches, Information Processing Letters, 33, 113, 10.1016\u002F0020-0190(89)90188-9\nBradford, 1990, Sequence matching with binary codes, Information Processing Letters, 34, 193, 10.1016\u002F0020-0190(90)90159-U\nGonnet, 1990, An analysis of the Karp-Rabin string matching algorithm, Information Processing Letters, 34, 271, 10.1016\u002F0020-0190(90)90135-K\nChandrasekharan, 1990, Isomorphism testing of k-trees is in NC, for fixed k, Information Processing Letters, 34, 283, 10.1016\u002F0020-0190(90)90011-L\nMaes, 1990, On a cyclic string-to-string correction problem, Information Processing Letters, 35, 73, 10.1016\u002F0020-0190(90)90109-B\nEppstein, 1990, Sequence comparison with mixed convex and concave costs, J. Algorithms, 11, 85, 10.1016\u002F0196-6774(90)90031-9\nShasha, 1990, Fast algorithms for the unit cost editing distance between trees, J. Algorithms, 11, 581, 10.1016\u002F0196-6774(90)90011-3\nBodlaender, 1990, Polynomial algorithms for graph isomorphism and chromatic index on partial k-trees, J. Algorithms, 11, 631, 10.1016\u002F0196-6774(90)90013-5\nRanka, 1990, String editing on an SIMD hypercube multicomputer, Journal of Parallel and Distributed Computing, 9, 411, 10.1016\u002F0743-7315(90)90125-9\nApostolico, 1990, Efficient parallel algorithms for string editing and related problems, SIAM Journal on Computing, 19, 968, 10.1137\u002F0219066\nGalil, 1990, An improved algorithm for approximate string matching, SIAM Journal on Computing, 19, 989, 10.1137\u002F0219067\nBreslauer, 1990, An optimtal O(log log n) time parallel string matching algorithm, SIAM Journal on Computing, 19, 1051, 10.1137\u002F0219072\nBertossi, 1990, String matching with weighted errors, Theoretical Computer Science, 73, 319, 10.1016\u002F0304-3975(90)90182-H\nIbarra, 1990, String processing on the hypercube, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 160, 10.1109\u002F29.45630\nShaw, 1990, Structural processing of waveforms as trees, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 328, 10.1109\u002F29.103068\nIsenman, 1990, Performance and architectural issues for string matching, IEEE Transactions on Computers, 39, 238, 10.1109\u002F12.45209\nWang, 1990, Optimal correspondence of string subsequences, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1080, 10.1109\u002F34.61707\nWong, 1990, An algorithm for graph optimal monomorphism, IEEE Transactions on Systems, Man, and Cybernetics, 20, 628, 10.1109\u002F21.57275\n1990\nGeiger, 1989, Stereo and eye movement, Biological Cybernetics, 62, 117, 10.1007\u002FBF00203000\nWeinshall, 1990, Qualitative depth from stereo, with applications, Computer Vision, Graphics, and Image Processing, 49, 222, 10.1016\u002F0734-189X(90)90138-L\nKamgar-Parsi, 1990, Calibration of a stereo system with small relative angles, Computer Vision, Graphics, and Image Processing, 51, 1, 10.1016\u002FS0734-189X(05)80059-3\nTrivedi, 1990, A semi-analytic method of determining stereo camera geometry from matched points in a pair of images: Coincident meridional planes, exact or noisy data, Computer Vision, Graphics, and Image Processing, 51, 299, 10.1016\u002F0734-189X(90)90005-G\nPridmore, 1990, Exploiting image-plane data in the interpretation of edge-based binocular disparity, Computer Vision, Graphics, and Image Processing, 52, 1, 10.1016\u002F0734-189X(90)90121-B\nBrookshire, 1990, Automated stereophotogrammetry, Computer Vision, Graphics, and Image Processing, 52, 276, 10.1016\u002F0734-189X(90)90059-5\nHorn, 1990, Relative orientation, IJCV, 4, 59, 10.1007\u002FBF00137443\nYuille, 1990, Stereo and controlled movement, IJCV, 4, 141, 10.1007\u002FBF00127814\nNasrabadi, 1989, Stereo vision correspondence using a multichannel graph matching technique, Image and Vision Computing, 7, 237, 10.1016\u002F0262-8856(89)90026-7\nBrint, 1990, Stereo matching of curves, Image and Vision Computing, 8, 50, 10.1016\u002F0262-8856(90)90056-B\nZheng, 1990, SWITCHER: A stereo algorithm for ground plane obstacle detection, Image and Vision Computing, 8, 57, 10.1016\u002F0262-8856(90)90057-C\nLee, 1990, Region matching and depth finding for 3D objects in stereo aerial photographs, Pattern Recognition, 23, 81, 10.1016\u002F0031-3203(90)90050-U\nTu, 1990, 3-D information derivation from a pair of binocular images, Pattern Recognition, 23, 223, 10.1016\u002F0031-3203(90)90010-I\nSandini, 1990, Active tracking strategy for monocular depth inference over multiple frames, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 13, 10.1109\u002F34.41380\nOlsen, 1990, Stereo correspondence by surface reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 309, 10.1109\u002F34.49055\nRodriguez, 1990, Stochastic analysis of stereo quantization error, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 467, 10.1109\u002F34.55106\nSherman, 1990, Stereo by incremental matching of contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1102, 10.1109\u002F34.61711\nKrotkov, 1990, Stereo ranging with verging cameras, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1200, 10.1109\u002F34.62610\nBrockelbank, 1989, An experimental investigation in the use of color in computational stereopsis, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1365, 10.1109\u002F21.44060\nMarapane, 1989, Region-based stereo analysis for robotic applications, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1447, 10.1109\u002F21.44064\nGrosso, 1989, 3-D object reconstruction using stereo and motion, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1465, 10.1109\u002F21.44065\nDhond, 1989, Structure from stereo—A review, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1489, 10.1109\u002F21.44067\nKayaalp, 1990, Near real-time stereo range detection using a pipeline architecture, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1461, 10.1109\u002F21.61216\nJ. Porrill, J. E. W. Mayhew, and J. P. Frisby, Cyclotorsion, conformal invariance, and induced effects in stereoscopic vision, IU89, 185–196.\nS. B. Pollard, J. Porrill, J. E. W. Mayhew, and J. P. Frisby, Disparity gradient, Lipschitz continuity, and computing binocular correspondences, IU89, 197–214.\nA. L. Yuille, D. Geiger, and H. Bülthoff, Stereo integration, mean field theory and psychophysics, First European Conference on Computer Vision, 73–82.\nA. Meygret, M. Thonnat, and M. Berthod, A pyramidal stereovision algorithm based on contour chain points, First European Conference on Computer Vision, 83–88.\nJ. S. Chen and G. Medioni, Parallel multiscale stereo matching using adaptive smoothing, First European Conference on Computer Vision, 99–103.\nS. J. Maybank, Ambiguity in reconstruction from image correspondences, First European Conference on Computer Vision, 177–186.\nJ. L. Crowley, P. Bobet, and K. Sarachik, Dynamic world modeling using vertical line stereo, First European Conference on Computer Vision, 241–246.\nJ. L. Crowley and P. Stelmaszyk, Measurement and integration of 3-D structures by tracking edge lines, First European Conference on Computer Vision, 269–280.\nK. Langley, T. J. Atherton, R. G. Wilson, and M. H. E. Larcombe, Vertical and horizontal disparities from phase, First European Conference on Computer Vision, 315–325.\nJ. J. Little and W. E. Gillett, Direct evidence for occlusion in stereo and motion, First European Conference on Computer Vision, 336–340.\nM. R. M. Jenkin, On the use of trajectory information to assist stereopsis in a dynamic environment, First European Conference on Computer Vision, 341–345.\nG. Randall, S. Foret, and N. Ayache, Final steps towards real time trinocular stereovision, First European Conference on Computer Vision, 601–603.\nG. Zimmermann, Stereo matching based on a combination of simple features used for matching in temporal image sequences, First European Conference on Computer Vision, 616–618.\nA. Shmuel and M. Werman, Active vision: 3D from an image sequence, ICPR-A, 48–54.\nW. Luo and H. Maitre, Using surface model to correct and fit disparity data in stereo vision, ICPR-A, 60–64.\nY. C. Hsieh, F. Perlant, and D. M. McKeown, Recovering 3D information from complex aerial imagery, ICPR-A, 136–146.\nM. Soucy and D. Laurendeau, Generating non-redundant surface representations of 3D objects using multiple range views, ICPR-A, 198–200.\nR. Deriche and O. Faugeras, 2-D curve matching using high curvature points: Application to stereo vision, ICPR-A, 240–242.\nC. Gu and L. Wu, Structural matching of multiresolution for stereo vision, ICPR-A, 243–245.\nJ. Weng, P. Cohen, and M. Herniou, Calibration of stereo cameras using a non-linear distortion model, ICPR-A, 246–253.\nC. V. Stewart and J. K. MacCrone, Experimental analysis of a number of stereo matching components using LMA, ICPR-A, 254–258.\nJ. P. Gambotto, Determining stereo correspondence and egomotion from a sequence of stereo images, ICPR-A, 259–262.\nC. Chang and S. Chatterjee, Multiresolution stereo—A Bayesian approach, ICPR-B, 908–912.\nA. N. Choudhary, S. Das, N. Ahuja, and J. H. Patel, A reconfigurable and hierarchical parallel processing architecture: Performance results for stereo vision, ICPR-D, 389–393.\nA. F. Laine and G. C. Roman, A parallel algorithm for incremental stereo matching on SIMD machines, ICPR-D, 484–490.\nP. F. Symosek, B. Bhanu, S. Snyder, and B. Roberts, Motion and binocular stereo for passive ranging, Image Understanding Workshop, 358–363.\nT. Kanade and M. Okutomi, A stereo matching algorithm with an adaptive window: Theory and experiment, Image Understanding Workshop, 383–398.\nS. Das and N. Ahuja, Integrated multiresolution image acquisition and surface reconstruction from active stereo, Image Understanding Workshop, 418–422.\nE. J. Altman and N. Ahuja, A dynamical systems approach to integration in stereo, Image Understanding Workshop, 423–427.\nR. T. Collins and R. S. Weiss, Deriving line and surface orientation by statistical methods, Image Understanding Workshop, 433–438.\nS. T. Barnard and M. A. Fischler, Computational and biological models of stereo vision, Image Understanding Workshop, 439–448.\nS. T. Barnard, Recent progress in CYCLOPS: A system for stereo cartography, Image Understanding Workshop, 449–455.\nD. J. Braunegg, MARVEL: Location recognition using stereo vision, Image Understanding Workshop, 530–536.\nY. C. Hsieh, F. Perlant, and D. M. McKeown, Recovering 3D information from complex aerial imagery, Image Understanding Workshop, 670–691.\nT. J. Olson and D. J. Coombs, Real-time vergence control for binocular robots, Image Understanding Workshop, 881–888.\nY. L. Chang and J. K. Aggarwal, Reconstructing 3D lines from a sequence of 2D projections: Representation and estimation, Third International Conference on Computer Vision, 101–105.\nM. Okutomi and T. Kanade, A locally adaptive window for signal matching, Third International Conference on Computer Vision, 190–199.\nB. H. Hayashi, Direct motion stereo: Recovery of observer motion and scene structure, Third International Conference on Computer Vision, 446–450.\nA. P. Tirumalai, B. G. Schunck, and R. C. Jain, Dynamic stereo with self-calibration, Third International Conference on Computer Vision, 466–470.\nK. L. Boyer, D. M. Wuescher, and S. Sarkar, Dynamic edge warping: Experiments in disparity estimation under weak constraints, Third International Conference on Computer Vision, 471–475.\nM. Watanabe and Y. Ohta, Cooperative integration of multiple stereo algorithms, Third International Conference on Computer Vision, 476–480.\nE. Thirion and L. Quan, Geometrical learning from multiple stereo views through monocular based feature grouping, Third International Conference on Computer Vision, 481–484.\nS. Das and N. Ahuja, Multiresolution image acquisition and surface reconstruction, Third International Conference on Computer Vision, 485–488.\nA. L. Abbot and N. Ahuja, Active surface reconstruction by integrating focus, vergence, stereo, and camera calibration, Third International Conference on Computer Vision, 489–492.\nH. Ishiguro, M. Yamamoto, and S. Tsuji, Omni-directional stereo for making global map, Third International Conference on Computer Vision, 540–547.\nL. Hong and D. Brzakovic, An approach to 3-D scene reconstruction from noisy binocular image sequences using information fusion, Third International Conference on Computer Vision, 658–661.\nT. Mori and M. Yamamoto, A dynamic depth extraction method, Third International Conference on Computer Vision, 672–676.\nJ. J. Rodriguez and J. K. Aggarwal, Terrain matching by analysis of aerial images, Third International Conference on Computer Vision, 677–681.\nA. Gagalowicz, Collaboration between computer graphics and computer vision, Third International Conference on Computer Vision, 733–737.\n1990, 2\nMurray, 1990\nWohn, 1990, The analytic structure of image flows: Deformation and segmentation, Computer Vision, Graphics, and Image Processing, 49, 127, 10.1016\u002F0734-189X(90)90134-H\nKorsten, 1990, The estimation of geometry and motion of a surface from image sequences by means of linearization of a parametric model, Computer Vision, Graphics, and Image Processing, 50, 1, 10.1016\u002F0734-189X(90)90065-4\nSubbarao, 1990, Bounds on time-to-collision and rotational component from first-order derivatives of image flow, Computer Vision, Graphics, and Image Processing, 50, 329, 10.1016\u002F0734-189X(90)90151-K\nLee, 1990, Three-frame corner matching and moving object extraction in a sequence of images, Computer Vision, Graphics, and Image Processing, 52, 210, 10.1016\u002F0734-189X(90)90055-Z\nLee, 1990, Finding point correspondences and determining motion of a rigid object from two weak perspective views, Computer Vision, Graphics, and Image Processing, 52, 309, 10.1016\u002F0734-189X(90)90078-A\nSimard, 1990, Vector field restoration by the method of convex projections, Computer Vision, Graphics, and Image Processing, 52, 360, 10.1016\u002F0734-189X(90)90081-6\nThompson, 1990, Detecting moving objects, IJCV, 4, 29, 10.1007\u002FBF00137442\nSpetsakis, 1990, Structure from motion using line correspondences, IJCV, 4, 171, 10.1007\u002FBF00054994\nFaugeras, 1990, Motion from point matches: Multiplicity of solutions, IJCV, 4, 225, 10.1007\u002FBF00054997\nFleet, 1990, Computation of component image velocity from local phase information, IJCV, 5, 77, 10.1007\u002FBF00056772\nBasu, 1990, A robust, correspondenceless, translation-determining algorithm, IJRR, 9, 35\nZhao, 1989, Dynamic estimation of optical flow field using objective functions, Image and Vision Computing, 7, 259, 10.1016\u002F0262-8856(89)90029-2\nMaybank, 1990, Rigid velocities compatible with five image velocity vectors, Image and Vision Computing, 8, 18, 10.1016\u002F0262-8856(90)90051-6\nMurray, 1990, Algebraic polyhedral constraints and 3D structure from motion, Image and Vision Computing, 8, 24, 10.1016\u002F0262-8856(90)90052-7\nFletcher, 1990, Predicting multiple feature locations for a class of dynamic image sequences, Image and Vision Computing, 8, 193, 10.1016\u002F0262-8856(90)90065-D\nBrockett, 1990, Gramians, generalized inverses, and the least-squares approximation of optical flow, Journal of Visual Communication and Image Representation, 1, 3, 10.1016\u002F1047-3203(90)90012-K\nChen, 1990, Image representation of moving nonrigid objects, Journal of Visual Communication and Image Representation, 1, 199, 10.1016\u002F1047-3203(90)90008-J\nSong, 1990, Multiresolution image motion detection and displacement estimation, Machine Vision and Applications, 3, 17, 10.1007\u002FBF01211449\nSalari, 1990, A method to calcualte the structural and motion parametes from line correspondences, Pattern Recognition, 23, 553, 10.1016\u002F0031-3203(90)90033-H\nJiang, 1990, Depth from relative normal flows, Pattern Recognition, 23, 1011, 10.1016\u002F0031-3203(90)90109-X\nKenner, 1990, Motion analysis of long image sequence flow, Pattern Recognition Letters, 11, 123, 10.1016\u002F0167-8655(90)90122-I\nWohn, 1990, Estimating the finite displacement using moments, Pattern Recognition Letters, 11, 371, 10.1016\u002F0167-8655(90)90047-6\nArnspang, 1990, The concept of virtual motion in vision calculus, Pattern Recognition Letters, 11, 575, 10.1016\u002F0167-8655(90)90029-2\nChetverikov, 1990, A matching algorithm for motion analysis of dense populations, Pattern Recognition Letters, 11, 743, 10.1016\u002F0167-8655(90)90093-H\nNamazi, 1990, Nonuniform image motion estimation from noisy data, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 364, 10.1109\u002F29.103075\nSalari, 1990, Feature point correspondence in the presence of occlusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 87, 10.1109\u002F34.41387\nShariat, 1990, Motion estimation with more than two frames, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 417, 10.1109\u002F34.55102\nAloimonos, 1990, Correspondenceless stereo and motion: Planar surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 504, 10.1109\u002F34.55111\nWerkhoven, 1990, Displacement estimates through adaptive affinities, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 658, 10.1109\u002F34.56208\nYoung, 1990, 3-D motion estimation using a sequence of noisy stereo images: Models, estimation, and uniqueness results, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 735, 10.1109\u002F34.57666\nChen, 1990, Matching 3-D line segments with applications to multiple-object motion estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1002, 10.1109\u002F34.58872\nNegahdaripour, 1990, Multiple interpretations of the shape and motion of objects from two perspective images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1025, 10.1109\u002F34.61703\nBurger, 1990, Estimating 3-D egomotion from perspective image sequences, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1040, 10.1109\u002F34.61704\nAisbett, 1990, An iterated estimation of the motion parameters of a rigid body from noisy displacement vectors, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1092, 10.1109\u002F34.61709\nJerian, 1990, Polynomial methods for structure from motion, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1150, 10.1109\u002F34.62604\nTseng, 1989, Analysis of long image sequence for structure and motion estimation, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1511, 10.1109\u002F21.44069\nA. Yuille and S. Ullman, Rigidity and smoothness of motion: Justifiying the smoothness assumption in motion measurement, IU89, 163–184.\nO. Faugeras, On the motion of 3D curves and its relationship to optical flow, First European Conference on Computer Vision, 107–117.\nC. Harris, Structure-from-motion under othographic projection, First European Conference on Computer Vision, 118–123.\nS. Gong and M. Brady, Parallel computation of optic flow, First European Conference on Computer Vision, 124–133.\nW. Enkelmann, Obstacle detection by evaluation of optical flow fields from image sequences, First European Conference on Computer Vision, 134–138.\nH. H. Nagel, Extending the “oriented smoothness constrain” into the temporal domain and the estimation of derivatives of optical flow, First European Conference on Computer Vision, 139–148.\nJ. Konrad and E. Dubois, A comparison of stochastic and deterministic solution methods in Bayesian estimation of 2-D motion, First European Conference on Computer Vision, 149–160.\nB. Jähne, Motion determination in space-time images, First European Conference on Computer Vision, 161–173.\nK. Daniilidis and H. H. Nagel, Analytical results on error sensitivity of motion estimation from two views, First European Conference on Computer Vision, 199–208.\nM. Tistarelli and G. Sandini, On the estimation of depth from motion using an anthropomorphic visual sensor, First European Conference on Computer Vision, 211–225.\nE. Francois and P. Bouthemy, The derivation of qualitative information in motion analysis, First European Conference on Computer Vision, 226–230.\nT. Vieville, Estimation of 3D-motion and structure from tracking 2D-lines in a sequence of images, First European Conference on Computer Vision, 281–291.\nD. Dube and A. Mitiche, The incremental rigidity scheme for structure from motion: The line-based formulation, First European Conference on Computer Vision, 292–296.\nV. Cornilleau-Peres and J. Droulez, Stereo correspondence from optic flow, First European Conference on Computer Vision, 326–330.\nN. M. Grzywacz and A. L. Yuille, A model for the estimate of local velocity, First European Conference on Computer Vision, 331–335.\nJ. R. Bergen, P. J. Burt, R. Hingorani, and S. Peleg, Transparent-motion analysis, First European Conference on Computer Vision, 566–569.\nE. DeMicheli, S. Uras, and V. Torre, The analysis of time varying image sequences, First European Conference on Computer Vision, 595–597.\nH. Tsukune, Trinocular stereo analysis of optical flow, Tenth International Conference on Pattern Recognition-A, 43–47.\nS. Lee and Y. Kay, A Kalman filter approach for accurate 3-D motion estimation from a sequence of stereo images, Tenth International Conference on Pattern Recognition-A, 104–108.\nS. Peleg and H. Rom, Motion based segmentation, Tenth International Conference on Pattern Recognition-A, 109–113.\nK. Price, Multi-frame feature-based motion analysis, Tenth International Conference on Pattern Recognition-A, 114–118.\nJ. Weng, T. S. Huang and N. Ahuja, Estimating motion and structure from line matches: Performance obtained and beyond, Tenth International Conference on Pattern Recognition-A, 168–172.\nC. L. Cheng and J. K. Aggarwal, A two-stage hybrid approach to the correspondence problem via forward-searching and backward-correcting, Tenth International Conference on Pattern Recognition-A, 173–179.\nS. L. Iu and K. Wohn, Estimation of general rigid body motion from a long sequence of images, Tenth International Conference on Pattern Recognition-A, 217–219.\nM. Yamamoto, A segmentation method based on motion from image sequence and depth, Tenth International Conference on Pattern Recognition-A, 230–232.\nK. P. Karmann, Time recursive motion estimation using dynamical models for motion prediction, Tenth International Conference on Pattern Recognition-A, 268–270.\nD. S. Kalivas and A. A. Sawchuk, A 2-D motion estimation algorithm, Tenth International Conference on Pattern Recognition-A, 271–273.\nM. Shizawa and K. Mase, Simultaneous multiple optical flow estimation, Tenth International Conference on Pattern Recognition-A, 274–278.\nJ. Arnspang, Direct determination of a non accelerating grey-level scene, Tenth International Conference on Pattern Recognition-A, 319–323.\nJ. Aloimonos, Purposive and qualitative active vision, Tenth International Conference on Pattern Recognition-A, 346–360.\nT. S. Huang, Modeling, analysis and visualization of nonrigid object motion, Tenth International Conference on Pattern Recognition-A, 361–364.\nM. Allmen and C. R. Dyer, Cyclic motion detection using spatiotemporal surfaces and curves, Tenth International Conference on Pattern Recognition-A, 365–370.\nG. S. Young and R. Chellappa, Statistical analysis of inherent ambiguities in recovering 3-D motion from a noisy flow field, Tenth International Conference on Pattern Recognition-A, 371–377.\nF. Heitz and P. Bouthemy, Multimodal motion estimation and segmentation using Markov random fields, Tenth International Conference on Pattern Recognition-A, 378–383.\nC. H. Debrunner and N. Ahuja, A direct data approximation based motion estimation algorithm, Tenth International Conference on Pattern Recognition-A, 384–389.\nC. Bergeron and E. Dubois, Parametric block estimation of motion and application to temporal interpolation of video sequences, Tenth International Conference on Pattern Recognition-C, 140–146.\nA. N. Choudhary, M. K. Leung, T. S. Huang and J. H. Patel, Parallel implementation and evaluation of motion estimation system algorithms on a distributed memory multiprocessor using knowledge based mappings, Tenth International Conference on Pattern Recognition-D, 337–342.\nN. Ranganathan and R. Mehrotra, A VLSI architecture for difference picture-based dynamic scene analysis, Tenth International Conference on Pattern Recognition-D, 506–508.\nC. Tomasi and T. Kanade, Shape and motion without depth, Image Understanding Workshop, 258–270.\nM. E. Spetsakis and J. (Y.) Aloimonos, A unified theory of structure from motion, Image Understanding Workshop, 271–283.\nM. A. Taalebi-Nezhaad, FIXATION: A direct method for recovery of motion and shape for the general case, Image Understanding Workshop, 284–291.\nD. J. Michael, Direct non-linear methods for recovering structure and motion, Image Understanding Workshop, 292–298.\nR. Dutta and M. A. Snyder, Robustness of correspondence-based structure from motion, Image Understanding Workshop, 299–306.\nH. S. Sawhney and A. R. Hanson, Comparative results of some motion algorithms on real image sequences, Image Understanding Workshop, 307–313.\nA. Singh, An estimation-theoretic framework for image-flow computation, Image Understanding Workshop, 314–328.\nR. C. Nelson, Qualitative detection of motion by a moving observer, Image Understanding Workshop, 329–338.\nY. C. Kim and K. Price, Multiple frame analysis of translation dominant motion, Image Understanding Workshop, 339–347.\nJ. Frazier and R. Nevatia, Detecting moving objects from a moving platform, Image Understanding Workshop, 348–355.\nJ. Heel and S. Rao, Temporal integration of visual surface reconstruction, Image Understanding Workshop, 376–382.\nS. L. Iu and K. Wohn, FLAT MMF: A new recursive technique for the 3-D motion analysis, Image Understanding Workshop, 405–417.\nM. K. Leung, Y. C. Liu, and T. S. Huang, Experimental results of 3D motion estimation using images of outdoor scenes, Image Understanding Workshop, 428–432.\nJ. (Y.) Aloimonos, Purposive and qualitative action vision, Image Understanding Workshop, 816–828.\nM. Campini and A. Verri, Computing optical flow from an overconstrained system of linear algebraic equations, Third International Conference on Computer Vision, 22–26.\nJ. R. Bergen, P. J. Burt, R. Hingorani and S. Peleg, Computing two motions from three frames, Third International Conference on Computer Vision, 27–32.\nM. J. Black and P. Anandan, A model for the detection of motion over time, Third International Conference on Computer Vision, 33–37.\nV. Markandey and B. E. Flinchbaugh, Multispectral constraints for optical flow computation, Third International Conference on Computer Vision, 38–41.\nR. J. Woodham, Multiple light source optical flow, Third International Conference on Computer Vision, 42–46.\nM. Allmen and C. R. Dyer, Computing spatiotemporal surface flow, Third International Conference on Computer Vision, 47–50.\nA. K. Chhabra and T. A. Grogan, Uniqueness, the minimum norm constraint, and analog networks for optical flow along contours, Third International Conference on Computer Vision, 80–84.\nF. Bergholm, Decomposition theory and transformations of visual directions, Third International Conference on Computer Vision, 85–90.\nC. Tomasi and T. Kanade, Shape and motion without depth, Third International Conference on Computer Vision, 91–95.\nD. J. Heeger and A. Jepson, Simple method for computing 3D motion and depth, Third International Conference on Computer Vision, 96–100.\nR. Dutta and M. A. Snyder, Robustness of correspondence-based structure from motion, Third International Conference on Computer Vision, 106–110.\nA. Singh, An estimation-theoretic framework for image-flow computation, Third International Conference on Computer Vision, 168–177.\nA. Pentland, Photometric motion, Third International Conference on Computer Vision, 178–187.\nN. Cui, J. Weng, and P. Cohen, Extended structure and motion analysis from monocular image sequences, Third International Conference on Computer Vision, 222–229.\nD. Weinshall, Direct computation of qualitative 3D shape and motion invariants, Third International Conference on Computer Vision, 230–237.\nA. Meygret and M. Thonnat, Segmentation of optical flow and 3D data for the interpretation of mobile objects, Third International Conference on Computer Vision, 238–245.\nJ. Heel, Temporally integrated surface reconstruction, Third International Conference on Computer Vision, 292–295.\nJ. L. Jezouin and N. Ayache, 3D structure from a monocular sequence of images, Third International Conference on Computer Vision, 441–445.\nM. A. Taalebinezhaad, Direct recovery of motion and shape in the general case by fixation, Third International Conference on Computer Vision, 451–455.\nM. Yamamoto, P. Boulanger, J. A. Beraldin, M. Rioux, and J. Domey, Direct estimation of deformable motion parameters from range image sequence, Third International Conference on Computer Vision, 460–464.\nH. S. Sawhney, J. Oliensis, and A. R. Hanson, Description and reconstruction from image trajectories of rotational motion, Third International Conference on Computer Vision, 494–498.\nX. Lin and Z. Zhu, Detecting height from constrained motion, Third International Conference on Computer Vision, 503–506.\nN. Mukawa, Estimation of shape, reflection coefficients and illuminant direction from image sequences, Third International Conference on Computer Vision, 507–512.\nN. Navab, R. Deriche, and O. D. Faugeras, Recovering 3D motion and structure from stereo and 2D token tracking cooperation, Third International Conference on Computer Vision, 513–516.\nT. Vieville and O. D. Faugeras, Feed-forward recovery of motion and structure from a series of 2D-line matches, Third International Conference on Computer Vision, 517–520.\nZ. Zhang and O. D. Faugeras, Tracking and grouping 3D line segments, Third International Conference on Computer Vision, 577–580.\nP. Werkhoven and J. J. Koenderink, Extraction of motion parallax structure in the visual system, Biological Cybernetics63, 19909, 185–199.\nWerkhoven, 1990, Metrics for the strength of low-level motion perception, Journal of Visual Communication and Image Representation, 1, 176, 10.1016\u002F1047-3203(90)90006-H\nCavanagh, 1989, Motion: The long and short of it, Spatial Vision, 4, 103, 10.1163\u002F156856889X00077\nMather, 1990, Computational modelling of motion detectors: Responses to two-frame displays, Spatial Vision, 5, 1, 10.1163\u002F156856890X00057\nJenkin, 1989, Response profiles of trajectory detectors, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1617, 10.1109\u002F21.44077\nvan Overveld, 1990, A technique for motion specification in computer animation, The Visual Computer, 6, 106, 10.1007\u002FBF01901071\nM. Shiohara, T. Gotoh, Y. Nakagawa, and M. Yoshida, Surface correspondence based on three-dimensional structure inference in animation images, Tenth International Conference on Pattern Recognition-A, 194–197.\nM. van de Panne, E. Fiume, and Z. Vranesic, Reusable motion synthesis using state-space controllers, SIGGRAPH'89 Conference, 225–234.\nA. Witkin and W. Welch, Fast animation and control of non-rigid structures, SIGGRAPH'89 Conference, 243–252.\nP. Lee, S. Wei, J. Zhao and N. I. Badler, Strength guided motion, SIGGRAPH'89 Conference, 253–262.\nBray, 1990, Tracking objects using image disparities, Image and Vision Computing, 8, 4, 10.1016\u002F0262-8856(90)90049-B\nPollard, 1990, Experiments in vehicle control using predictive feed-forward stereo, Image and Vision Computing, 8, 63, 10.1016\u002F0262-8856(90)90058-D\nCipolla, 1990, Stereoscopic tracking of bodies in motion, Image and Vision Computing, 8, 85, 10.1016\u002F0262-8856(90)90061-9\nStephens, 1990, Real-time 3D object tracking, Image and Vision Computing, 8, 91, 10.1016\u002F0262-8856(90)90062-A\nPorat, 1990, A frequency domain algorithm for multiframe detection and estimation of dim targets, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 398, 10.1109\u002F34.50625\nFeddema, 1990, Adaptive image feature prediction and control for visual tracking with a hand-eye coordinated camera, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1172, 10.1109\u002F21.59979\nJ. (Y.) Aloimonos and D. P. Tsakiris, Tracking in a complex visual environment, First European Conference on Computer Vision, 249–258.\nR. Deriche and O. Faugeras, Tracking line segments, First European Conference on Computer Vision, 259–268.\nP. Bouthemy and P. Lalande, Detection and tracking of moving objects based on a statistical regularization method in space and time, First European Conference on Computer Vision, 307–311.\nG. Wang, R. M. Inigo, and E. S. McVey, A single-pixel target detection and tracking system, Tenth International Conference on Pattern Recognition-A, 99–103.\nS. D. Blostein and T. S. Huang, Implementation of an MHT-based object detection algorithm on a 2-D processor mesh, Tenth International Conference on Pattern Recognition-D, 512–515.\nT. Dean, T. Camus, and J. Kirman, Sequential decision making for active perception, Image Understanding Workshop, 889–894.\nD. G. Lowe, Integrated treatment of matching and measurement errors for robust model-based motion tracking, Third International Conference on Computer Vision, 436–440.\nT. Hwang and J. J. Clark, On local detection of moving edges, Tenth International Conference on Pattern Recognition-A, 180–184.\nA. Waks and O. J. Tretiak, Robust detection of region boundaries in a sequence of images, Tenth International Conference on Pattern Recognition-B, 947–952.\nSamet, 1990\nSamet, 1990\nErdos, 1989\nShaffer, 1990, Set operations for unaligned linear quadtrees, Computer Vision, Graphics, and Image Processing, 50, 29, 10.1016\u002F0734-189X(90)90066-5\nBhattacharya, 1990, Contour codes of isothetic polygons, Computer Vision, Graphics, and Image Processing, 50, 353, 10.1016\u002F0734-189X(90)90153-M\nGünther, 1990, The arc tree: An approximation scheme to represent arbitrary curved shapes, Computer Vision, Graphics, and Image Processing, 1, 313, 10.1016\u002F0734-189X(90)90006-H\nManohar, 1990, Template quadtrees for representing region and line data present in binary images, Computer Vision, Graphics, and Image Processing, 51, 338, 10.1016\u002F0734-189X(90)90007-I\nMarshall, 1989, Review of shape coding techniques, Image and Vision Computing, 7, 281, 10.1016\u002F0262-8856(89)90032-2\nHolroyd, 1990, Efficient linear quadtree construction algorithm, Image and Vision Computing, 8, 218, 10.1016\u002F0262-8856(90)90068-G\nWise, 1990, Costs of quadtree representation of nondense matrices, Journal of Parallel and Distributed Computing, 9, 282, 10.1016\u002F0743-7315(90)90079-5\nDinstein, 1990, Parallel algorithms for contour extraction and coding on an EREW PRAM computer, PRL, 11, 87, 10.1016\u002F0167-8655(90)90118-L\nGrattoni, 1990, Contour coding for image description, PRL, 11, 95, 10.1016\u002F0167-8655(90)90119-M\nKim, 1990, Contour coding based on the decomposition of line segments, PRL, 11, 191, 10.1016\u002F0167-8655(90)90005-M\nLavakusha, 1990, Polygonal representation by edge k-d trees, PRL, 11, 391, 10.1016\u002F0167-8655(90)90109-F\nDevroye, 1990, An analysis of random d-dimension quad trees, SIAM Journal on Computing, 19, 821, 10.1137\u002F0219057\nAng, 1990, A new region expansion for quadtrees, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 682, 10.1109\u002F34.56221\nCabrelli, 1990, Automatic representation of binary images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1190, 10.1109\u002F34.62608\nChaudhuri, 1990, Neighboring direction runlength coding: An efficient contour coding scheme, IEEE Transactions on Systems, Man, and Cybernetics, 20, 916, 10.1109\u002F21.105089\nSamet, 1989, A comparison of the space requirements of multi-dimensional quadtree-based file structures, The Visual Computer, 5, 349, 10.1007\u002FBF01999102\nB. G. Mobasseri, Expected complexity in hierarchical representations for random fields, Tenth International Conference on Pattern Recognition-B, 508–512.\nM. Lindenbaum and H. Samet, A probabilistic analysis of hierarchical geometric data structures, Tenth International Conference on Pattern Recognition-C, 91–96.\nB. Yu and X. Lin, The extended binary tree representation of binary image and its application to engineering drawing entry, Tenth International Conference on Pattern Recognition-C, 109–114.\nL. Cinque, C. Guerra, and S. Levialdi, Optimal parallel computation of the quadtree medial axis transform on a multilayered architecture, Tenth International Conference on Pattern Recognition-D, 462–466.\nChang, 1990, A fast algorithm for the restoration of images based on chain codes description and its applications, Computer Vision, Graphics, and Image Processing, 50, 296, 10.1016\u002F0734-189X(90)90149-P\nHerman, 1990, On topology as applied to image analysis, Computer Vision, Graphics, and Image Processing, 52, 409, 10.1016\u002F0734-189X(90)90084-9\nHan, 1990, An efficient and fast parallel-connected component algorithm, J. ACM, 37, 626, 10.1145\u002F79147.214077\nT. Y. Kong and A. Rosenfeld, If we use 4- or 8-connectedness for both the objects and the background, the Euler characteristic is not locally computable, PRL11, 231–232.\nCypher, 1990, Algorithms for image component labeling on SIMD mesh-connected computers, IEEE Transactions on Computers, 39, 276, 10.1109\u002F12.45215\nY. Shima, T. Murakami, M. Koga, H. Yashiro, and H. Fujisawa. A high speed algorithm for propagation-type labeling based on block sorting of runs in binary images. Tenth International Conference on Pattern Recognition-B, 655–658.\nE. Mandler and M. F. Oberländer, One-pass encoding of connected components in multi-valued images, Tenth International Conference on Pattern Recognition-C, 64–69.\nT. Hattori, A high-speed pipeline processor for regional labeling based on a new algorithm, Tenth International Conference on Pattern Recognition-D, 494–496.\nP. Clermont and B. Zavidovique, Communication control in a pyramid computer—Application to region labeling, Tenth International Conference on Pattern Recognition-D, 551–555.\nGhosh, 1990, A solution of polygon containment, spatial planning, and other related problems using Minkowski operations, Computer Vision, Graphics, and Image Processing, 49, 1, 10.1016\u002F0734-189X(90)90160-W\nJakubowski, 1990, Decomposition of complex shapes for their structural recognition, IS, 50, 35\nLiu, 1990, Corner detection from chaincode, Pattern Recognition, 23, 51, 10.1016\u002F0031-3203(90)90048-P\nPitas, 1990, Morphological shape decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 38, 10.1109\u002F34.41382\nN. Walker, Using neural networks to learn shape decomposition by successive prototypication, First European Conference on Computer Vision, 610–612.\nG. Borgefors and G. Sanniti di Baja, Parallel smoothing and decomposition of digital shapes using a multiresolution structure, Tenth International Conference on Pattern Recognition-B, 745–748.\nN. Katzir, M. Lindenbaum and M. Porat, Planar curve segmentation for recognition of partially occluded shapes, Tenth International Conference on Pattern Recognition-B, 842–846.\nA. Rattarangsi and R. T. Chin, Scale-based detection of corners of planar curves, Tenth International Conference on Pattern Recognition-B, 923–930.\nBerger, 1990, Convexity, American Mathematical Monthly, 97, 650, 10.2307\u002F2324573\nGuenter, 1990, Computing the arc length of parametric curves, IEEE Computer Graphics and Applications, 10, 72, 10.1109\u002F38.55155\nBruckstein, 1990, On minimal energy trajectories, Computer Vision, Graphics, and Image Processing, 49, 283, 10.1016\u002F0734-189X(90)90105-5\nNakamura, 1990, Digital squares, Computer Vision, Graphics, and Image Processing, 49, 357, 10.1016\u002F0734-189X(90)90109-9\nAmir, 1990, Algorithm for finding the center of circular fiducials, Computer Vision, Graphics, and Image Processing, 49, 398, 10.1016\u002F0734-189X(90)90112-9\nMaes, 1990, Digitization of straight line segments—Closeness and convexity, Computer Vision, Graphics, and Image Processing, 52, 297, 10.1016\u002F0734-189X(90)90060-9\nDiamond, 1990, A note on fuzzy starshaped fuzzy sets, fuzzy Sets Systems, 37, 193, 10.1016\u002F0165-0114(90)90042-5\nDas, 1990, Hyperspheres in digital geometry, IS, 50, 73\nPetkov, 1989, A bit-level systolic array for digital contour smoothing, Parallel Computing, 12, 301, 10.1016\u002F0167-8191(89)90088-4\nAmarunnishad, 1990, Estimation of length for digitized straight lines in three dimensions, PRL, 11, 207, 10.1016\u002F0167-8655(90)90007-O\nLee, 1990, Moment preserving detection of elliptical shapes in gray-scale images, PRL, 11, 405, 10.1016\u002F0167-8655(90)90111-E\nChaudhuri, 1990, Optimal circular fit to objects in two and three dimensions, PRL, 11, 571, 10.1016\u002F0167-8655(90)90028-Z\nRosenfeld, 1990, Fuzzy rectangles, PRL, 11, 677, 10.1016\u002F0167-8655(90)90101-7\nChen, 1990, A new method for circular object detection and location, PRL, 11, 691, 10.1016\u002F0167-8655(90)90103-9\nKoplowitz, 1990, The number of digital straight lines on an N × N grid, T-IT, 36, 192\nG. Dudek and J. K. Tsotsos, Recognizing planar curves using curvature-tuned smoothing. Tenth International Conference on Pattern Recognition-A, 130–135.\nA. M. Bruckstein, The self-similarity of digital straight lines, Tenth International Conference on Pattern Recognition-B, 485–490.\nR. Safaee-Rad, K. C. Smith, and B. Benhabib, Accurate estimation of elliptical shape parameters from a grey-level image, Tenth International Conference on Pattern Recognition-C, 20–26.\nV. A. Kovalevsky, New definition and fast recognition of digital straight segments and arcs, Tenth International Conference on Pattern Recognition-C, 31–34.\nL. O'Gorman, A. M. Bruckstein, C. B. Bose, and I. Amir, Subpixel registration using a concentric ring fiducial, Tenth International Conference on Pattern Recognition-C, 249–253.\nO'Gorman, 1990, k × k thinning, Computer Vision, Graphics, and Image Processing, 51, 195, 10.1016\u002F0734-189X(90)90030-Y\nGökmen, 1990, Parallel shrinking algorithms using 2-subfields approachs, Computer Vision, Graphics, and Image Processing, 52, 191, 10.1016\u002F0734-189X(90)90054-Y\nPonce, 1990, On characterizing ribbons and finding skewed symmetries, Computer Vision, Graphics, and Image Processing, 52, 328, 10.1016\u002F0734-189X(90)90079-B\nDu, 1990, Diameter and radius in the Manhattan metric, Discrete and Computational Geometry, 5, 351, 10.1007\u002FBF02187795\nDas, 1990, Octagonal distances for digital pictures, IS, 50, 123\nMelter, 1990, Metrically independent sets in the digital plane, IS, 51, 315\nYu, 1990, A new thinning algorithm for gray scale images by the relaxation technique, PR, 23, 1067, 10.1016\u002F0031-3203(90)90003-4\nRiazanof, 1990, Parametrisable skeletonization of binary and multi-level images, PRL, 11, 25, 10.1016\u002F0167-8655(90)90052-4\nChen, 1990, A comparison of some one-pass parallel thinnings, PRL, 11, 35, 10.1016\u002F0167-8655(90)90053-5\nChen, 1990, A new fast one-pass thinning algorithm and its parallel hardware implementation, PRL, 11, 471, 10.1016\u002F0167-8655(90)90081-C\nGong, 1990, A note on “Thinning of 3-D images using the Safe Point Thinning Algorithm (SPTA)”, PRL, 11, 499, 10.1016\u002F0167-8655(90)90085-G\nDas, 1990, Metricity of super-knight's distance in digital geometry, PRL, 11, 601, 10.1016\u002F0167-8655(90)90012-Q\nMukherjee, 1990, On connectivity issues of ESPTA, PRL, 11, 643, 10.1016\u002F0167-8655(90)90018-W\nDas, 1990, Lattice of octagonal distances in digital geometry, PRL, 11, 663, 10.1016\u002F0167-8655(90)90099-N\nRhodes, 1990, Some characterizations of the chessboard metric and the city block metric, PRL, 11, 669, 10.1016\u002F0167-8655(90)90100-G\nBorgefors, 1990, Parallel distance transforms on pyramid machines: Theory and implementation, Signal Processing, 21, 61, 10.1016\u002F0165-1684(90)90027-V\nForsgren, 1990, An interobject distance measure based on medial axis retrieved from discrete distance maps, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 390, 10.1109\u002F34.50624\nJang, 1990, Analysis of thinning algorithms using mathematical morphology, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 541, 10.1109\u002F34.56190\nKing, 1990, Pipelined data-parallel algorithms, IEEE Transactions on Parallel and Distributed Systems, 1, 470, 10.1109\u002F71.80175\nBoult, 1990, Dynamic digital distance maps in two dimensions, IEEE Transactions on Robotics and Automation, 6, 590, 10.1109\u002F70.62048\nW. Gong and G. Bertrand, A simple parallel 3D thinning algorithm, Tenth International Conference on Pattern Recognition-A, 188–190.\nP. C. K. Kwok, Thinning in a distributed environment, Tenth International Conference on Pattern Recognition-B, 694–699.\nF. Y. Shih and C. C. Pu, Medial axis transformation with single-pixel and connectivity preservation using Euclidean distance computation, Tenth International Conference on Pattern Recognition-B, 723–725.\nJ. Xu, Morphological skeleton and shape decomposition, Tenth International Conference on Pattern Recognition-B, 876–880.\nC. W. Niblack, D. W. Capson and P. B. Gibbons, Generating skeletons and centerlines from the medial axis transform, Tenth International Conference on Pattern Recognition-B, 881–885.\nA. M. Vossepoel, J. P. Buys, and G. Koelewijn, Skeletons from chain-coded contours, Tenth International Conference on Pattern Recognition-C, 70–73.\nJ. B. Subirana-Vilanova, The skeleton sketch: Finding salient frames of reference, Image Understanding Workshop, 614–622.\nJ. B. Subirana Vilanova, Curved inertia frames and the skeleton sketch: Finding salient frames of reference, Third International Conference on Computer Vision, 702–708.\ndi Baja, 1990, O(N) computation of projections and moments from the labeled skeleton, Computer Vision, Graphics, and Image Processing, 49, 369, 10.1016\u002F0734-189X(90)90110-H\nGottschalk, 1989, Efficient recognition of partially visible objects using a logarithmic complexity matching technique, IJRR, 8, 110\nBoreddy, 1989, An algorithm to find polygon similarity, Information Processing Letters, 33, 205, 10.1016\u002F0020-0190(89)90142-7\nChen, 1990, Efficient parallel algorithms for the computation of two-dimensional image moments, Pattern Recognition, 23, 109, 10.1016\u002F0031-3203(90)90053-N\nGupta, 1990, A neural network approach to robust shape classification, Pattern Recognition, 23, 563, 10.1016\u002F0031-3203(90)90034-I\nKhotanzad, 1990, Rotation invariant image recognition using features selected via a systematic method, Pattern Recognition, 23, 1089, 10.1016\u002F0031-3203(90)90005-6\nAnsari, 1990, On the distribution of a deforming triangle, Pattern Recognition, 23, 1333, 10.1016\u002F0031-3203(90)90079-Z\nLindenbaum, 1990, Reconstructing a convex polygon from binary perspective projections, Pattern Recognition, 23, 1343, 10.1016\u002F0031-3203(90)90080-5\nStrachan, 1990, A method for working out the moments of a polygon, PRL, 11, 351, 10.1016\u002F0167-8655(90)90044-3\nDas, 1990, A bivariate autoregressive modeling technique for analysis and classification of planar shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 97, 10.1109\u002F34.41389\nSinha, 1990, Discrete black and white object recognition via morphological functions, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 275, 10.1109\u002F34.49053\nAnsari, 1990, Partial shape recognition: A land-mark-based approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 470, 10.1109\u002F34.55107\nKhotanzad, 1990, Invariant image recognition by Zernike moments, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 489, 10.1109\u002F34.55109\nArbter, 1990, Application of affine-invariant Fourier descriptors to recognition of 3-D objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 640, 10.1109\u002F34.56206\nSchneiter, 1990, An automated tactile sensing strategy for planar object recognition and localization, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 775, 10.1109\u002F34.57668\nXu, 1990, Generalized multidimensional orthogonal polynomials with applications to shape analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 906, 10.1109\u002F34.57684\nLei, 1990, Recognition of planar objects in 3-D space from single perspective views using cross ratio, IEEE Transactions on Robotics and Automation, 6, 432, 10.1109\u002F70.59368\nHwang, 1989, Recognizing and locating partly occluded 2-D objects: Symbolic clustering method, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1644, 10.1109\u002F21.44080\nF. Stein and G. Medioni, Efficient two dimensional object recognition, Tenth International Conference on Pattern Recognition-A, 13–17.\nK. N. Ngan and S. B. Kang, Fuzzy quaternion approach to object recognition incorporating Zernike moment invariants, Tenth International Conference on Pattern Recognition-A, 288–290.\nM. Lee, Using moments to reduce object recognition to a one-dimensional search, Tenth International Conference on Pattern Recognition-A, 300–302.\nC. H. Lo and H. S. Don, Pattern recognition using 3-D moments, Tenth International Conference on Pattern Recognition-B, 540–544.\nS. O. Belkasim, M. Shridhar, and M. Ahmadi, Shape-contour recognition using moment invariants, Tenth International Conference on Pattern Recognition-B, 649–651.\nC. Wu, X. Lu, D. Xiao, and Y. Jiang, An effective regional descriptor and its application to target recognition, Tenth International Conference on Pattern Recognition-B, 671–673.\nW. D. Mao and S. Y. Kung, An object recognition system using stochastic knowledge source and VLSI parallel architecture, Tenth International Conference on Pattern Recognition-B, 832–836.\nI. Schreiber and M. Ben-Bassat, Polygonal object recognition, Tenth International Conference on Pattern Recognition-B, 852–859.\nK. B. Eom and J. Park, Recognition of shapes by statistical modeling of centroidal profile, Tenth International Conference on Pattern Recognition-B, 860–864.\nN. Ueda and S. Suzuki, Automatic shape model acquisition using multiscale segment matching, Tenth International Conference on Pattern Recognition-B, 897–902.\nJ. Rubinstein, J. Segman, and Y. Zeevi, Recognition of distorted patterns by invariance kernels, Tenth International Conference on Pattern Recognition-C, 159–164.\nO. Bourdon and G. Medioni, Object recognition using geometric hashing on the Connection Machine, Tenth International Conference on Pattern Recognition-D, 596–600.\nL. Van Gool, J. Wagemans, J. Vandeneede, and A. Oosterlinck, Similarity extraction and modelling, Third International Conference on Computer Vision, 530–534.\nD. Forsyth, J. L. Mundy, A. Zisserman, and C. M. Brown, Invariance—A new framework for vision, Third International Conference on Computer Vision, 598–605.\nE. Saund, Representation and the dimensions of shape deformation, Third International Conference on Computer Vision, 684–689.\nB. B. Kimia, A. Tannenbaum, and S. W. Zucker, Toward a computational theory of shape: An overview, First European Conference on Computer Vision, 402–407.\nDonald, 1990, The complexity of planar compliant motion planning under uncertainty, Algorithmica, 5, 353, 10.1007\u002FBF01840394\nBurkard, 1990, Shortest polygonal paths in space, Computing, 45, 51, 10.1007\u002FBF02250584\nKehtarnavaz, 1990, Establishing collision zones for obstacles moving with uncertainty, Computer Vision, Graphics, and Image Processing, 49, 95, 10.1016\u002F0734-189X(90)90165-R\nKedem, 1990, An efficient motion-planning algorithm for a convex polygonal object in two-dimensional polygonal space, Discrete and Computational Geometry, 5, 43, 10.1007\u002FBF02187779\nBull, 1990, Finite embedded trees and simply connected mazes cannot be searched by halting finite automata, EIK, 26, 65\nTrovato, 1990, Differential A∗: An adaptive search method illustrated with robot planning for moving obstacles and goals, and an uncertain environment, IJPRAI, 4, 245\nXue, 1990, Path planning for two cooperating robots, IJPRAI, 4, 269\nIlari, 1990, 2D path planning: A configuration space heuristic approach, IJRR, 9, 75\nSinden, 1990, The tethered robot problem, IJRR, 9, 122\nTrinkle, 1990, Planning for dexterous manipulation with sliding contacts, IJRR, 9, 24\nLumelsky, 1990, A unified methodology for motion planning with uncertainty for 2D and 3D two-link robot arm manipulators, IJRR, 9, 89\nRowe, 1990, An efficient Snell's law method for optimal-path planning across multiple two-dimensional, irregular, homogeneous-cost regions, IJRR, 9, 48\nRowe, 1990, Roads, rivers, and obstacles: Optimal two-dimensional path planning around linear features for a mobile agent, IJRR, 9, 67\nGriswold, 1990, Control for mobile robots in the presence of moving objects, IEEE Transactions on Robotics and Automation, 6, 263, 10.1109\u002F70.54744\nGewali, 1990, Path planning in the presence of vertical obstacles, IEEE Transactions on Robotics and Automation, 6, 331, 10.1109\u002F70.56665\nKender, 1989, Why direction-giving is hard: The complexity of using landmarks in one-dimensional navigation, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1656, 10.1109\u002F21.44081\nBorenstein, 1990, Task-level tour plan generation for mobile robots, IEEE Transactions on Systems, Man, and Cybernetics, 20, 938, 10.1109\u002F21.105093\nLumelsky, 1990, Incorporating range sensing in the robot navigation function, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1058, 10.1109\u002F21.59969\nBonner, 1990, A novel representation for planning 3-D collision-free paths, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1337, 10.1109\u002F21.61205\nde Lamadrid, 1990, Path tracking through uncharted moving obstacles, IEEE Transactions on Systems, Man, and Cybernetics, 20, 1408, 10.1109\u002F21.61210\nJ. Lengyel, M. Reichert, B. R. Donald, and D. P. Greenberg, Real-time robot motion planning using rasterizing computer grahics hardware, SIGGRAPH'89 Conference, 327–335.\nJ. R. Kender, I. P. Park and D. Yang, A formalization and implementation of topological visual navigation in two dimensions, Image Understanding Workshop, 757–764.\n1990, 1250\nStrauss, 1990, A realistic lighting model for computer animators, IEEE Computer Graphics and Applications, 10, 56, 10.1109\u002F38.62696\nLin, 1990, Efficient histogramming on hypercube SIMD machines, Computer Vision, Graphics, and Image Processing, 49, 104, 10.1016\u002F0734-189X(90)90166-S\nCelenk, 1990, A color clustering technique for image segmentation, Computer Vision, Graphics, and Image Processing, 52, 145, 10.1016\u002F0734-189X(90)90052-W\nGonzalez-Rodriguez, 1990, Segmentation and recognition in visual chromatic spaces, Cybernetics Systems, 21, 241, 10.1080\u002F01969729008902237\nXie, 1990, An information measure for a color space, Fuzzy Sets Systems, 36, 157, 10.1016\u002F0165-0114(90)90089-O\nKlinker, 1990, A physical approach to color image understanding, IJCV, 4, 7, 10.1007\u002FBF00137441\nForsyth, 1990, A novel algorithm for color constancy, IJCV, 5, 5, 10.1007\u002FBF00056770\nPhillips, 1989, O(log n) bimodality analysis, Pattern Recognition, 22, 741, 10.1016\u002F0031-3203(89)90010-1\nLim, 1990, On the color image segmentation algorithm based on the thresholding and the fuzzy c-means techniques, Pattern Recognition, 23, 935, 10.1016\u002F0031-3203(90)90103-R\nAndreadis, 1990, Image pixel classification by chromaticity analysis, PRL, 11, 51, 10.1016\u002F0167-8655(90)90055-7\nStrachan, 1990, Calibration of a video camera digitising system in the CIE L∗u∗v∗ colour space, PRL, 11, 771, 10.1016\u002F0167-8655(90)90096-K\nBlommaert, 1990, An object-oriented model for brightness perception, Spatial Vision, 5, 15, 10.1163\u002F156856890X00066\nWare, 1990, The RGYB color geometry, ACM Transactions on Graphics, 9, 226, 10.1145\u002F78956.78962\nLamming, 1990, A simple method for improved color printing of monitor images, ACM Transactions on Graphics, 9, 345, 10.1145\u002F88560.88567\nLee, 1990, Modeling light reflection for computer color vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 402, 10.1109\u002F34.50626\nHo, 1990, Separating a color signal into illumination and surface reflectance components: Theory and applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 966, 10.1109\u002F34.58869\nWolff, 1990, Polarization-based material classification from specular reflection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1059, 10.1109\u002F34.61705\nHealey, 1989, Color discrimination by computer, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1613, 10.1109\u002F21.44076\nSkrzypek, 1990, Lightness constancy: Connectionist architecture for controlling sensitivity, IEEE Transactions on Systems, Man, and Cybernetics, 20, 957, 10.1109\u002F21.59961\nL. T. Maloney and B. A. Wandell, Color constancy: A method for recovering surface spectral reflectance, IU89, 215–224.\nR. Bajcsy, S. W. Lee, and A. Leonardis, Color image segmentation with detection of highlights and local illumination induced by interreflections, Tenth International Conference on Pattern Recognition-B, 785–790.\nR. S. Ledley, M. Buas, and T. J. Golab, Fundamentals of true-color image processing, Tenth International Conference on Pattern Recognition-B, 791–795.\nT. Westman, D. Harwood, T. Laitinen, and M. Pietikainen, Color segmentation by hierarchical connected components analysis with image enhancement by symmetric neighborhood filters, Tenth International Conference on Pattern Recognition-B, 796–802.\nS. Tominaga, A color classification method for color images using a uniform color space, Tenth International Conference on Pattern Recognition-B, 803–807.\nA. Takagi, H. Takaoka, T. Oshima, and Y. Ogata, Accurate rendering technique based on colorimetric conception, SIG-GRAPH, 263–272.\nM. J. Swain and D. H. Ballard, Indexing via color histograms, Image Understanding Workshop, 623–630.\nL. E. Wixson, Real-time qualitative detection of multi-colored objects for object search, Image Understanding Workshop, 631–638.\nR. Ikeuchi and R. Sato, Determining reflectance parameters using range and brightness images, Third International Conference on Computer Vision, 12–20.\nM. Tsukada and Y. Ohta, An approach to color constancy using multiple images, Third International Conference on Computer Vision, 385–389.\nM. J. Swain and D. H. Ballard, Indexing via color histograms, Third International Conference on Computer Vision, 390–393.\nM. S. Drew and B. V. Funt, Calculating surface reflectance using a single-bounce model of mutual reflection, Third International Conference on Computer Vision, 394–399.\nHall, 1988\nAldous, 1989\n1989\nKaye, 1989\nVicsek, 1989\nMarroquin, 1989, A Markovian random field of piecewise straight lines,, Biological Cybernetics, 61, 457, 10.1007\u002FBF02414907\nBlinn, 1990, The truth about texture mapping, IEEE Computer Graphics and Applications, 10, 78, 10.1109\u002F38.50676\nKulkarni, 1990, Generating random combinatorial objects, J. Algorithms, 11, 185, 10.1016\u002F0196-6774(90)90002-V\nClark, 1989, Experiments in segmenting texton patterns using localized spatial filters, Pattern Recognition, 22, 707, 10.1016\u002F0031-3203(89)90007-1\nBrzakovic, 1990, An approach to defect detection in materials characterized by complex textures, Pattern Recognition, 23, 99, 10.1016\u002F0031-3203(90)90052-M\ndu Buf, 1990, Texture feature performance for image segmentation, Pattern Recognition, 23, 291, 10.1016\u002F0031-3203(90)90017-F\nReed, 1990, Texture segmentation using a diffusion region growing technique, Pattern Recognition, 23, 953, 10.1016\u002F0031-3203(90)90104-S\nBeckers, 1990, The probability of a random straight line in two and three dimensions, PRL, 11, 233, 10.1016\u002F0167-8655(90)90061-6\nMobasseri, 1990, A hierarchical representation for random fields, PRL, 11, 545, 10.1016\u002F0167-8655(90)90024-V\nChen, 1990, Texture segmentation by least squares filters, Signal Processing, 19, 199, 10.1016\u002F0165-1684(90)90112-C\nManjunath, 1990, Stochastic and deterministic networks for texture segmentation, IEEE Transactions on Acoustics, Speech, and Signal Processing, 38, 1039, 10.1109\u002F29.56064\nGoutsias, 1989, Mutually compatible Gibbs random fields, T-IT, 35, 1233\nBerger, 1990, Entropic aspects of random fields on trees, T-IT, 36, 1006\nReed, 1990, Segmentation of textured images and Gestalt organization using spatial\u002Fspatial-frequency representations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1, 10.1109\u002F34.41379\nTuceryan, 1990, Texture segmentation using Voronoi polygons, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 211, 10.1109\u002F34.44407\nUnser, 1990, Nonlinear operators for improving texture segmentation based on features extracted by spatial filtering, IEEE Transactions on Systems, Man, and Cybernetics, 20, 804, 10.1109\u002F21.105080\nS. R. Yhann and T. Y. Young, A multiresolution approach to texture segmentation using aerial networks, Tenth International Conference on Pattern Recognition-B, 513–517.\nE. J. Eijlers, E. Backer, and J. J. Gerbrands, An improved linked pyramid for texture segmentation using the fractal Brownian model, Tenth International Conference on Pattern Recognition-B, 687–689.\nP. A. Devijver, Real-time modeling of image sequences based on hidden Markov mesh random field models, Tenth International Conference on Pattern Recognition-C, 194–199.\nN. S. Raja, M. Tuceryan, and A. K. Jain, Texture segmentation on two high-performance computers. Tenth International Conference on Pattern Recognition-D, 601–605.\nH. Chen and E. H. Wu, An efficient radiosity solution for bump texture generation, SIGGRAPH'89 Conference, 125–134.\nP. S. Heckbert, Adaptive radiosity textures for bidirectional ray tracing, SIGGRAPH'89 Conference, 145–154.\nK. Miyata, A method of generating stone wall patterns, SIGGRAPH'89 Conference, 387–394.\nJ. Levy Vehel, About lacunarity, some links between fractal and integral geometry and an application to texture segmentation, Third International Conference on Computer Vision, 380–384.\nLiu, 1990, Texture analysis and discrimination in additive noise, Computer Vision, Graphics, and Image Processing, 49, 52, 10.1016\u002F0734-189X(90)90162-O\nGotleib, 1990, Texture descriptors based on co-occurrence matrices, Computer Vision, Graphics, and Image Processing, 51, 70, 10.1016\u002FS0734-189X(05)80063-5\nPachowitz, 1990, Integrating low-level features computation with inductive learning techniques for texture recognition, IJPRAI, 4, 147\nIwama, 1989, Organizing and integrating edge segments for texture discrimination, Journal of Theoretical and Experimental Artificial Intelligence, 1, 113, 10.1080\u002F09528138908953696\nEichmann, 1989, Pattern classification using a linear associative memory, Pattern Recognition, 22, 733, 10.1016\u002F0031-3203(89)90009-5\nWang, 1990, Texture classification using texture spectrum, Pattern Recognition, 23, 905, 10.1016\u002F0031-3203(90)90135-8\nShipley, 1990, The human texture visual field: Fovea-to-periphery pattern recognition, Pattern Recognition, 23, 1215, 10.1016\u002F0031-3203(90)90117-4\nParkkinen, 1990, Detecting texture periodicity from the cooccurrence matrix, PRL, 11, 43, 10.1016\u002F0167-8655(90)90054-6\nZhuang, 1990, The amplitude varying rate statistical approach for texture classification, PRL, 11, 143, 10.1016\u002F0167-8655(90)90124-K\nChu, 1990, Use of gray value distribution of run lengths for texture analysis, PRL, 11, 415, 10.1016\u002F0167-8655(90)90112-F\nKim, 1990, Extraction of periodicity vectors from structural textures using projection information, PRL, 11, 625, 10.1016\u002F0167-8655(90)90015-T\nChen, 1990, A nonparametric test for comparing estimators in Markov random fields, PRL, 11, 765, 10.1016\u002F0167-8655(90)90095-J\nBeck, 1989, Line segregation, Spatial Vision, 4, 75, 10.1163\u002F156856889X00068\nOr, 1989, Texture fields and texture flows: Sensitivity to differences, Spatial Vision, 4, 131, 10.1163\u002F156856889X00086\nde B. Simas, 1990, Angular frequency filtering: A basis for pattern decomposition,, Spatial Vision, 5, 59, 10.1163\u002F156856890X00093\nBovik, 1990, Multichannel texture analysis using localized spatial filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 55, 10.1109\u002F34.41384\nMeer, 1990, A fast parallel algorithm for blind estimation of noise variance, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 216, 10.1109\u002F34.44408\nConners, 1989, Developing a quantitative model of human preattentive vision, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1384, 10.1109\u002F21.44061\nJ. R. Sullins, Distributed learning of texture classification, First European Conference on Computer Vision, 349–358.\nA. Ravishankar Rao and R. Jain, Analyzing oriented textures through phase portraits, Tenth International Conference on Pattern Recognition-A, 337–340.\nA. Visa, Identification of stochastic textures with multiresolution features and self-organizing maps, Tenth International Conference on Pattern Recognition-B, 518–522.\nR. S. Thau, Illuminant precompensation for texture discrimination using filters, Image Understanding Workshop, 179–184.\nJ. Krumm and S. A. Shafer, Local spatial frequency analysis of image texture, Third International Conference on Computer Vision, 354–358.\nKrotkov, 1989\nHager, 1990\nGoodale, 1990\n1990, 1260\nFearing, 1990, Tactile sensing mechanisms, IJRK, 9, 3\nVuylsteke, 1990, Range image acquisition with a simple binary-encoded light pattern, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 148, 10.1109\u002F34.44402\nHarrison, 1990, High-speed triangulation-based 3-D imaging with orthonormal projections and error detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 409, 10.1109\u002F34.50627\nBarshan, 1990, Differentiating sonar reflections from corners and planes by employing an intelligent sensor, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 560, 10.1109\u002F34.56192\nAllen, 1990, Acquisition and interpretation of 3-D sensor data from touch, IEEE Transactions on Robotics and Automation, 6, 397, 10.1109\u002F70.59353\nJ. Tajima and M. Iwakawa, 3-D data acquisition by Rainbow Range Finder, Tenth International Conference on Pattern Recognition-A, 309–313.\nT.C. Nguyen and T.S. Huang, Image blurring effects due to depth discontinuities, Image Understanding Workshop, 174–178.\nVeatch, 1990, Efficient algorithms for obstacle detection using range data, Computer Vision, Graphics, and Image Processing, 50, 50, 10.1016\u002F0734-189X(90)90067-6\nTsui, 1990, Orientation estimation of 3D surface patches, Computer Vision, Graphics, and Image Processing, 50, 112, 10.1016\u002F0734-189X(90)90070-C\nLiang, 1990, Representation and recognition of surface shapes in range images: A differential geometry approach, Computer Vision, Graphics, and Image Processing, 52, 78, 10.1016\u002F0734-189X(90)90124-E\nPentland, 1990, Automatic extraction of deformable part models, IJCV, 4, 107, 10.1007\u002FBF00127812\nAbdelmatek, 1990, Algebraic error analysis for surface curvatures and segmentation of 3-D range images, Pattern Recognition, 23, 807, 10.1016\u002F0031-3203(90)90128-8\nMukherjee, 1990, Segmentation of threedimensional surfaces, PRL, 11, 215, 10.1016\u002F0167-8655(90)90008-P\nMukherjee, 1990, From range to frame: Extraction of 3-D information from 212D data, PRL, 11, 483\nLim, 1990, Range image segmentation based on 2D quadratic function approximation, PRL, 11, 699, 10.1016\u002F0167-8655(90)90104-A\nSolina, 1990, Recovery of parametric models from range images: The case for superquadrics with global deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 131, 10.1109\u002F34.44401\nSander, 1990, Inferring surface trace and differential structure from 3-D images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 833, 10.1109\u002F34.57680\nSander, 1989, Generic curvature features from 3-D images, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1623, 10.1109\u002F21.44078\nF. P. Ferrie, J. Lagarde and P. Whaite, Recovery of volumetric object descriptions from laser rangefinder images, First European Conference on Computer Vision, 387–396.\nA. Pentland, Extraction of deformable part models, First European Conference on Computer Vision, 397–401.\nP. T. Sander and S. W. Zucker, Charting surface structure. First European Conference on Computer Vision, 418–426.\nH. T. Tanaka, O. Kling and D. T. Lee, On surface curvature computation from level set contours, Tenth International Conference on Pattern Recognition-A, 155–160.\nS. P. Liou and R. C. Jain, A parellel technique for three-dimensional image segmentation, Tenth International Conference on Pattern Recognition-A, 201–203.\nK. Venkatesh Prasad and R. J. Mammone, Depth restoration from defocused images using simulated annealing, Tenth International Conference on Pattern Recognition-A, 227–229.\nN. Yokoya and M. D. Levine, Volumetric description of solids of revolution in a range image, Tenth International Conference on Pattern Recognition-A, 303–308.\nJ. Subrahmonia, Y. P. Hung, and D. B. Cooper, Model-based segmentation and estimation of 3D surfaces from two or more intensity images using Markov random fields, Tenth International Conference on Pattern Recognition-A, 390–397.\nN. N. Abdelmalek, Algebraic error analysis for surface curvatures of 3-D range images obtained by different methods, Tenth International Conference on Pattern Recognition-B, 529–534.\nR. W. Taylor, An efficient implementation of decomposable parameter spaces, Tenth International Conference on Pattern Recognition-B, 613–619.\nP. Boulanger, F. Blais, and P. Cohen, Detection of depth and orientation discontinuities in range images using mathematical morphology, Tenth International Conference on Pattern Recognition-B, 729–732.\nP. Perez, M. A. Abidi, and R. C. Gonzalez, Experimental evaluation of hypercube-based range analysis tools, Tenth International Conference on Pattern Recognition-D, 584–590.\nD. B. Cooper, Y. P. Hung, and J. Subrahmonia, General model-based 3D surface estimation, recognition and segmentation from multiple images, Image Understanding Workshop, 399–404.\nT. E. Boult and M. Lerner, Energy-based segmentation of very sparse range surfaces, 1UW, 565–572.\nM. Asada, M. Kimura, and Y. Shirai, Dynamic integration of height maps into a 3-D world representation from range image sequences, Third International Conference on Computer Vision, 548–555.\nB. Sabata, F. Arman, and J. K. Aggarwal. Segmentation of 3-D range images using pyramidal data structures, Third International Conference on Computer Vision, 662–666.\nA. K. Jain and S. G. Nadabar, MRF model-based segmentation of range images, Third International Conference on Computer Vision, 667–671.\nCaprile, 1990, Using vanishing points for camera calibration, IJCV, 4, 127, 10.1007\u002FBF00127813\nWang, 1990, Computing camera parameters using vanishing-line information from a rectangular parallelpiped, Machine Vision and Applications, 3, 129, 10.1007\u002FBF01214426\nEchigo, 1990, A camera calibration technique using three sets of parallel lines, Machine Vision and Applications, 3, 159, 10.1007\u002FBF01214428\nChen, 1990, A systematic approach to analytic determination of camera parameters by line features, Pattern Recognition, 23, 859, 10.1016\u002F0031-3203(90)90132-5\nGrosky, 1990, A unified approach to the linear camera calibration problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 663, 10.1109\u002F34.56209\nP. Puget and T. Skordas, An optimal solution for mobile camera calibration, First European Conference on Computer Vision, 187–198.\nJ. C. Li and T. Schenk, An accurate camera calibration for the aerial image analysis. Tenth International Conference on Pattern Recognition-A, 207–209.\nDonald, 1990, Planning multi-step error detection and recovery strategies, IJRR, 9, 3\nBrown, 1990, Gaze controls cooperating through prediction, Image and Vision Computing, 8, 10, 10.1016\u002F0262-8856(90)90050-F\nBrown, 1990, Gaze controls with interactions and delays, IEEE Transactions on Systems, Man, and Cybernetics, 20, 518, 10.1109\u002F21.52563\nS. Yi, R. M. Haralick, and L. G. Shapiro, Automatic sensor and light source positioning for machine vision, Tenth International Conference on Pattern Recognition-A, 55–59.\nJ. Maver and R. Bajcsy, How to decide from the first view where to look next, Image Understanding Workshop, 482–496.\nK. Ikeuchi and M. Hebert, Task oriented vision, Image Understanding Workshop, 497–507.\nR. D. Rimey and C. M. Brown, Selective attention as sequential behavior: Modeling eye movements with an augmented hidden Markov model, Image Understanding Workshop, 840–849.\nK. Tarbanis, R. Y. Tsai and P. K. Allen, Satisfying the resolution constraint in the “MVP” machine vision planning system, Image Understanding Workshop, 850–860.\nH. L. Wu and A. Cameron, A Bayesian decision theoretic approach for adaptive goal-directed sensing, Third International Conference on Computer Vision, 563–567.\nP. Whaite and F. P. Ferrie, From uncertainty to visual exploration, Third International Conference on Computer Vision, 690–697.\nChen, 1990, Shape from fractal geometry, AI, 43, 199\nFrankot, 1990, Estimation of surface topography from SAR imagery using shape from shading techniques, AI, 43, 271\nBlake, 1990, Shape from texture: Estimation, isotropy and moments, AI, 45, 323\nGujar, 1989, Construction of solid objects from orthographic views, Computers and Graphics, 13, 505, 10.1016\u002F0097-8493(89)90012-5\nUllman, 1990, The importance of drawing in the mechanical design process, Computers and Graphics, 14, 263, 10.1016\u002F0097-8493(90)90037-X\nSrivastrava, 1990, Octree generation from object silhouettes in perspective views, Computer Vision, Graphics, and Image Processing, 49, 68, 10.1016\u002F0734-189X(90)90163-P\nKnill, 1990, Learning a near-optimal estimator for surface shape from shading, Computer Vision, Graphics, and Image Processing, 50, 75, 10.1016\u002F0734-189X(90)90068-7\nSalzman, 1990, A method of general moments for orienting 2D projections of unknown 3D objects, Computer Vision, Graphics, and Image Processing, 50, 129, 10.1016\u002F0734-189X(90)90038-W\nJau, 1990, Shape from texture using the Wigner distribution, Computer Vision, Graphics, and Image Processing, 52, 248, 10.1016\u002F0734-189X(90)90057-3\nJones, 1989, Recognition of shiny dielectric objects by analysing the polarization of reflected light, Image and Vision Computing, 7, 253, 10.1016\u002F0262-8856(89)90028-0\nForsyth, 1990, Shape from shading in the light of mutual illumination, Image and Vision Computing, 8, 42, 10.1016\u002F0262-8856(90)90055-A\nWorrall, 1990, Roll angle consistency constraint, Image and Vision Computing, 8, 78, 10.1016\u002F0262-8856(90)90060-I\nLee, 1990, Generation process for the reconstruction of space curves, Image and Vision Computing, 8, 99, 10.1016\u002F0262-8856(90)90024-Y\nFisher, 1990, Geometric constraints from planar surface patch matching, Image and Vision Computing, 8, 148, 10.1016\u002F0262-8856(90)90030-9\nPonce, 1990, Straight homogeneous generalized cylinders: Differential geometry and uniqueness results, IJCV, 4, 79, 10.1007\u002FBF00137444\nPentland, 1990, Linear shape from shading, IJCV, 4, 153, 10.1007\u002FBF00127815\nHorn, 1990, Height and gradient from shading, IJCV, 5, 37, 10.1007\u002FBF00056771\nOnn, 1990, Integrability disambiguates surface recovery in two-image photometric stereo, IJCV, 5, 105, 10.1007\u002FBF00056773\nPong, 1989, Shape from shading using the facet model, Pattern Recognition, 22, 683, 10.1016\u002F0031-3203(89)90005-8\nSrinivasan, 1990, Computational geometric methods in volumetric intersection for 3D reconstruction, Pattern Recognition, 23, 843, 10.1016\u002F0031-3203(90)90131-4\nHuang, 1989, Polyhedral objects identification through the orthographic projection views generation, PRL, 10, 321, 10.1016\u002F0167-8655(89)90035-4\nSingh, 1990, Shadows and texture in computer vision, PRL, 11, 133, 10.1016\u002F0167-8655(90)90123-J\nPai, 1990, Linear octree of a 3D object from 2D silhouettes using segment tree, PRL, 11, 619, 10.1016\u002F0167-8655(90)90014-S\nTandri, 1990, Comparison of two shape-from-shading algorithms, PRL, 11, 637, 10.1016\u002F0167-8655(90)90017-V\nVerbeek, 1990, Shading from shape, the eikonal equation solved by grey-weighted distance transform, PRL, 11, 681, 10.1016\u002F0167-8655(90)90102-8\nPentland, 1989, Shape information from shading: A theory about human perception, Spatial Vision, 4, 165, 10.1163\u002F156856889X00103\nKirousis, 1990, Effectively labeling planar projections of polyhedra, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 123, 10.1109\u002F34.44400\nBrown, 1990, Surface orientation from projective foreshortening of isolropic texture autocorrelation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 584, 10.1109\u002F34.56194\nKriegman, 1990, On recognizing and positioning curved 3-D objects from image contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1127, 10.1109\u002F34.62602\nWeiss, 1990, An error analysis for surface orientation from vanishing points, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1179, 10.1109\u002F34.62606\nPeleg, 1990, Nonlinear multiresolution: A shape-from-shading example, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1206, 10.1109\u002F34.62611\nNayar, 1990, Specular surface inspection using structural highlight and Gaussian images, IEEE Transactions on Robotics and Automation, 6, 208, 10.1109\u002F70.54736\nNayar, 1990, Determining shape and reflectance of hybrid surfaces by photometric sampling, IEEE Transactions on Robotics and Automation, 6, 418, 10.1109\u002F70.59367\nR. Szeliski, Fast shape from shading, First European Conference on Computer Vision, 359–368.\nR. Horaud, F. Veillon, and T. Skordas, Finding geometric and relational structures in an image, First European Conference on Computer Vision, 374–384.\nS. Y. K. Yuen, Shape from contour using symmetries, First European Conference on Computer Vision, 437–453.\nR. Vaillant, Using occluding contours for 3D object modeling, First European Conference on Computer Vision, 454–464.\nA. Blake and R. Cipolla, Robust estimation of surface curvature from deformation of apparent contours, First European Conference on Computer Vision, 465–474.\nR. Laganiere and A. Mitiche, A 3D interpretation system based on consistent labeling of a set of propositions. Application to the interpretation of straight line correspondences, First European Conference on Computer Vision, 521–525.\nH. Barman, G. H. Granlund, and H. Knutsson, Estimation of curvature in 3D images using tensor field filtering, First European Conference on Computer Vision 563–565.\nJ. Y. Hervé and J.(Y.) Aloimonos, Shading into texture and texture into shading: An active approach, First European Conference on Computer Vision, 586–588.\nF. P. Ferrie and J. Lagarde, Curvature consistency improves local shading analysis, Tenth International Conference on Pattern Recognition-A, 70–76.\nY. Iwahori, H. Sugie and N. Ishii, Reconstructing shape from shading images under point light source illumination, Tenth International Conference on Pattern Recognition-A, 83–87.\nJ. J. Clark and A. L. Yuille, Shape from shading via the fusion of specular and Lambertian image components, Tenth International Conference on Pattern Recognition-A, 88–92.\nF. Ulupinar and R. Nevatia, Inferring shape from contour for curved surfaces, Tenth International Conference on Pattern Recognition-A, 147–154.\nD. Lysak and R. Kasturi, Interpretation of line drawings with multiple views, Tenth International Conference on Pattern Recognition-A, 220–222.\nN. Narasimhamurthi, R. Srinivasan, M. Shridhar and M. Ahmadi, Shape determination from intensity images—A new algorithm, Tenth International Conference on Pattern Recognition-A, 291–293.\nY. Choe and R. L. Kashyap, Shape from textured and shaded surface, Tenth International Conference on Pattern Recognition-A, 294–296.\nJ. Garding, Shape from texture and contour by weak isotropy, Tenth International Conference on Pattern Recognition-A, 324–330.\nJ. S. Park and J. T. Tou, Highlight separation and surface orientations for 3-D specular objects, Tenth International Conference on Pattern Recognition-A, 331–335.\nJ. Oliensis, Existence and uniqueness in shape from shading, Tenth International Conference on Pattern Recognition-A, 341–345.\nC. L. Huang, Contour generation and shape restoration of the straight homogeneous generalized cylinder, Tenth International Conference on Pattern Recognition-A, 409–413.\nJ. Oliensis, New results in shape from shading, Image Understanding Workshop, 145–153.\nL. B. Wolff, A photometric invariant and shape constraints at parabolic points, Image Understanding Workshop, 162–173.\nS. K. Nayar, K. Ikeuchi, and T. Kanade, Surface reflection: Physical and geometrical perspectives, Image Understanding Workshop, 185–212.\nJ. Krumm and S. A. Shafer, Local spatial frequency analysis for computer vision, Image Understanding Workshop, 213–230.\nF. Ulupinar and R. Nevatia, Recovering shape from contour for SHGCs and CGCs, Image Understanding Workshop, 544–556.\nA. D. Gross and T. E. Boult, Recovery of generalized cylinders from a single intensity view, Image Understanding Workshop, 557–564.\nA. D. Gross, Straight homogeneous generalized cylinders: Constraints from contour, Image Understanding Workshop, 573–582.\nL. R. Williams, Perceptual organization of occluding contours, Image Understanding Workshop, 639–649.\nS. K. Nayar, K. Ikeuchi and T. Kanade, Shape from interreflections, Third International Conference on Computer Vision, 2–11.\nP. S. Toh and A. K. Forrest, Occlusion detection in early vision, Third International Conference on Computer Vision, 126–132.\nR. B. Fisher, Determining back-facing curved model surfaces by analysis at the boundary, Third International Conference on Computer Vision, 296–299.\nH. Murase, Surface shape reconstruction of an undulating transparent object, Third International Conference on Computer Vision, 313–317.\nH. D. Tagare and R. J. P. de Figuereido, Simultaneous estimation of shape and reflectance maps from photometric stereo, Third International Conference on Computer Vision, 340–343.\nL. B. Wolff, A photometric invariant and shape constraints at parabolic points, Third International Conference on Computer Vision, 344–349.\nC. Marinos and A. Blake, Shape from texture: The homogeneity hypothesis, Third International Conference on Computer Vision, 350–353.\nK. Kanatani, Hypothesizing and testing geometric attributes of image data, Third International Conference on Computer Vision, 370–373.\nR. T. Collins and R. S. Weiss, Vanishing point calculation as a statistical inference on the unit sphere, Third International Conference on Computer Vision, 400–403.\nG. Stockman, G. Lee, and S. W. Chen, Reconstructing line drawings from wings: The polygonal case, Third International Conference on Computer Vision, 526–529.\nF. Ulupinar and R. Nevatia, Shape from contour: Straight homogeneous generalized cones, Third International Conference on Computer Vision, 582–586.\nR. Cipolla and A. Blake, The dynamic analysis of apparent contours, Third International Conference on Computer Vision, 616–623.\nW. B. Searles and C. R. Dyer, Modeling the rim appearance, Third International Conference on Computer Vision, 698–701.\nKoenderink, 1990\n1989\n1990, 14, 147\n1989, 8, 261\n1990, 9, 145\n1989\n1990\n1988\n1990\n1990\n1990, 1251\nRieger, 1990, The geometry of view space of opaque objects bounded by smooth surfaces, AI, 44, 1\nFaugeras, 1990, Representing stereo data with the Delaunay triangulation, AI, 44, 41\nOsserman, 1990, Curvature in the eighties, American Mathematical Monthly, 97, 731, 10.2307\u002F2324577\nWu, 1989, A new combinatoral model for boundary representation, Computers and Graphics, 13, 477, 10.1016\u002F0097-8493(89)90009-5\nWalker, 1989, Boolean operations with enriched octree structures, Computers and Graphics, 13, 487, 10.1016\u002F0097-8493(89)90010-1\nMajor, 1989, Distance between objects represented by octtrees defined in different coordinate systems, Computers and Graphics, 13, 497, 10.1016\u002F0097-8493(89)90011-3\nWoodwark, 1989, Comments on “Extended octtrees,”, Computers and Graphics, 13, 529, 10.1016\u002F0097-8493(89)90014-9\nRossignac, 1990, Issues on feature-based editing and interrogation of solid models, Computers and Graphics, 14, 149, 10.1016\u002F0097-8493(90)90029-W\nWoodbury, 1990, Variations in solids: A declarative treatment, Computers and Graphics, 14, 173, 10.1016\u002F0097-8493(90)90030-2\nChung, 1990, Feature-based modeling for mechanical design, Computers and Graphics, 14, 189, 10.1016\u002F0097-8493(90)90031-R\nMurakama, 1990, Using features for machine design problems, Computers and Graphics, 14, 201, 10.1016\u002F0097-8493(90)90032-S\nSuzuki, 1990, Geometric constraints and reasoning for geometrical CAD systems, Computers and Graphics, 14, 211, 10.1016\u002F0097-8493(90)90033-T\nAnderson, 1990, Geometric reasoning in feature-based design and process planning, Computers and Graphics, 14, 225, 10.1145\u002F965105.807496\nLee, 1990, Assembly planning based on geometric reasoning, Computers and Graphics, 14, 237, 10.1016\u002F0097-8493(90)90035-V\nTapadia, 1990, Using a feature-based model for automatic determination of assembly handling codes, Computers and Graphics, 14, 251, 10.1016\u002F0097-8493(90)90036-W\nAziz, 1990, Bezier surface\u002Fsurface intersection, IEEE Computer Graphics and Applications, 10, 50, 10.1109\u002F38.45810\nSarraga, 1990, Computer modeling of surfaces with arbitrary shapes, IEEE Computer Graphics and Applications, 10, 67, 10.1109\u002F38.50675\nSederberg, 1990, Techniques for cubic algbraic surfaces, IEEE Computer Graphics and Applications, 10, 14, 10.1109\u002F38.56295\nSederberg, 1990, Techniques for cubic algebraic surfaces, IEEE Computer Graphics and Applications, 10, 12, 10.1109\u002F38.59032\nSakurai, 1990, Recognizing shape features in solid models, IEEE Computer Graphics and Applications, 10, 22, 10.1109\u002F38.59033\nHall, 1990, Adaptive polygonalization of implicitly defined surfaces, IEEE Computer Graphics and Applications, 10, 33, 10.1109\u002F38.62694\nArbab, 1990, Set models and Boolean operations for solids and assemblies, IEEE Computer Graphics and Applications, 10, 76, 10.1109\u002F38.62698\nStewman, 1990, Direct construction of the perspective projection aspect graph of convex polyhedra, Computer Vision, Graphics, and Image Processing, 51, 20, 10.1016\u002FS0734-189X(05)80060-X\nLee, 1990, Simple connectivity is not locally computable for connected 3D images, Computer Vision, Graphics, and Image Processing, 51, 87, 10.1016\u002FS0734-189X(05)80064-7\nUdupa, 1990, Boundary and object labelling in three-dimensional images, Computer Vision, Graphics, and Image Processing, 51, 355, 10.1016\u002F0734-189X(90)90008-J\nYuille, 1990, 3D symmetry-curvature duality theorems, Computer Vision, Graphics, and Image Processing, 52, 124, 10.1016\u002F0734-189X(90)90126-G\nPaterson, 1990, Efficient binary space partitions for hidden-surface removal and solid modeling, Discrete and Computational Geometry, 5, 485, 10.1007\u002FBF02187806\nMarkenscoff, 1990, The geometry of grasping, IJRR, 9, 61\nBajaj, 1990, Generation of configuration space obstacles: Moving algebraic surfaces, IJRR, 9, 92\nWeld, 1990, Geometric representation of swept volumes with application to polyhedral objects, IJRR, 9, 105\nIbaroudene, 1990, Adjacency algorithms for linear octree nodes, Image and Vision Computing, 8, 115, 10.1016\u002F0262-8856(90)90026-2\nAloimonos, 1990, Perspective approximations, Image and Vision Computing, 8, 179, 10.1016\u002F0262-8856(90)90064-C\nBryant, 1990, Following boundaries of discrete binary objects in space, Pattern Recognition, 23, 547, 10.1016\u002F0031-3203(90)90032-G\nLin, 1990, Invariants of three-dimensional contours, Pattern Recognition, 23, 833, 10.1016\u002F0031-3203(90)90130-D\nMukherjee, 1990, An algorithm for the extraction of the wire frame structure of a three-dimensional object, Pattern Recognition, 23, 999, 10.1016\u002F0031-3203(90)90108-W\nAkman, 1989, Ray representation for k-trees, PRL, 10, 315, 10.1016\u002F0167-8655(89)90034-2\nLeou, 1990, The minimum feature point set representing a convex polyhedral object, PRL, 11, 225, 10.1016\u002F0167-8655(90)90009-Q\nBen-Arie, 1990, Probabilistic models of observed features and aspects with application to weighted aspect graphs, PRL, 11, 421, 10.1016\u002F0167-8655(90)90113-G\nVaz, 1990, Generation of affine invariant local contour feature data, PRL, 11, 479, 10.1016\u002F0167-8655(90)90082-D\nEggert, 1990, Computing the orthographic projection aspect graph of solids of revolution, PRL, 11, 751, 10.1016\u002F0167-8655(90)90094-I\nWarren, 1989, Blending algebraic surfaces, ACM Transactions on Graphics, 8, 263, 10.1145\u002F77269.77270\nRockwood, 1989, The displacement method for implicit blending surfaces in solid models, ACM Transactions on Graphics, 8, 279, 10.1145\u002F77269.77271\nAbhyankar, 1989, Automatic parameterization of rational curves and surfaces IV: Algebraic space curves, ACM Transactions on Graphics, 8, 325, 10.1145\u002F77269.77273\nAbhyankar, 1990, Improper intersection of algebraic curves, ACM Transactions on Graphics, 9, 147, 10.1145\u002F78956.78957\nDyn, 1990, A Butterfly subdivision scheme for surface interpolation with tension control, ACM Transactions on Graphics, 9, 160, 10.1145\u002F78956.78958\nBrunet, 1990, Solid representation and operation using extended octrees, ACM Transactions on Graphics, 9, 170, 10.1145\u002F78956.78959\nLasser, 1990, Two remarks on tau splines, ACM Transactions on Graphics, 9, 198, 10.1145\u002F78956.78960\nFerguson, 1990, On the construction of surfaces interpolating curves: I. A method for handling non-constant parameter curves, ACM Transactions on Graphics, 9, 212, 10.1145\u002F78956.78961\nBall, 1990, An investigation of curvature variations over recursively generated B-spline surfaces, ACM Transactions on Graphics, 9, 424, 10.1145\u002F88560.88580\nGigus, 1990, Computing the aspect graph for line drawings of polyhedral objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 113, 10.1109\u002F34.44399\nGilbert, 1990, Computing the distance between general convex objects in three-dimensional space, IEEE Transactions on Robotics and Automation, 6, 53, 10.1109\u002F70.88117\nCameron, 1990, Collision detection by four-dimensional intersection testing, IEEE Transactions on Robotics and Automation, 6, 291, 10.1109\u002F70.56661\nLi, 1990, A comparative study of nonlinear shape models for digital image processing and pattern recognition, IEEE Transactions on Systems, Man, and Cybernetics, 20, 858, 10.1109\u002F21.105085\nShih, 1990, A unified approach for robot motion planning with moving polyhedral obstacles, IEEE Transactions on Systems, Man, and Cybernetics, 20, 903, 10.1109\u002F21.105088\nDeRose, 1989, Apex: Two architectures for generating parametric curves and surfaces, The Visual Computer, 5, 264, 10.1007\u002FBF01914785\nRazdan, 1989, Feature based object decomposition for finite element meshing, The Visual Computer, 5, 291, 10.1007\u002FBF01914787\nAnagnostou, 1989, Geometry-defining processors for engineering design and analysis, The Visual Computer, 5, 304, 10.1007\u002FBF01914788\nNatarajan, 1989, An analysis of assembly, The Visual Computer, 5, 316, 10.1007\u002FBF01914789\nPatrikalakis, 1989, Representation of piecewise continuous algebraic surfaces in terms of B-splines, The Visual Computer, 5, 360, 10.1007\u002FBF01999103\nSamet, 1990, Approximating CSG trees of moving objects, The Visual Computer, 6, 182, 10.1007\u002FBF02341044\nBruzzone, 1990, Two data structures for building tetrahedralizations, The Visual Computer, 6, 266, 10.1007\u002FBF01900749\nGiertsen, 1990, Graph-directed modelling from serial sections, The Visual Computer, 6, 284, 10.1007\u002FBF01900750\nD. Forsyth, J. L. Mundy, A. Zisserman, and C. M. Brown. Projectively invariant representations using implicit algebraic curves, First European Conference on Computer Vision, 427–436.\nG. Sparr and L. Nielson, Shape and mutual cross-ratios with applications to exterior, interior, and relative orientation, First European Conference on Computer Vision, 607–609.\nS. Chen and H. Freeman, Computing characteristic views of quadric-surfaced solids, Tenth International Conference on Pattern Recognition-A, 77–82.\nS. Mori, A closed form solution for the reconstruction of a convex polyhedron from its extended Gaussian image, Tenth International Conference on Pattern Recognition-A, 223–226.\nS. W. Chen and G. Stockman, Wing representation for rigid 3D objects, Tenth International Conference on Pattern Recognition-A, 398–402.\nH. A. Al-Mohamad, 3D shape classification using the R-transform, Tenth International Conference on Pattern Recognition-B, 749–754.\nD. Baraff, Curved surfaces and coherence for non-penetrating rigid body simulation, SIGGRAPH'89 Conference, 19–28.\nB. Von Herzen, A. H. Barr, and H. R. Zatz, Geometric collisions for time-dependent parametric surfaces, SIGGRAPH'89 Conference, 39–48.\nM. Segal, Using tolerances to guarantee valid polyhedral modeling results, SIGGRAPH'89 Conference, 105–114.\nB. Naylor, J. Amanatides, and W. Thibault, Merging BSP yields polyhedral set operations, SIGGRAPH'89 Conference, 115–124.\nS. Coquillart, Extended free-form deformation: A sculpturing tool for 3D geometric modeling, SIGGRAPH'89 Conference, 187–196.\nC. Loop and T. DeRose, Generalized B-spline surfaces of arbitrary topology, SIGGRAPH'89 Conference, 347–356.\nV. D. Nguyen, J. L. Mundy, and D. Kapur, Modeling polyhedra by constraints, Image Understanding Workshop, 515–529.\nJ. B. Burns, R. Weiss and E. M. Riseman, View variation of point set and line segment features, Image Understanding Workshop, 650–659.\nY. F. Wang and J. F. Wang, Surface reconstruction using deformable models with interior and boundary constraints, Third International Conference on Computer Vision, 300–303.\nH. T. Tanaka and D. T. L. Lee, Representing surface curvature discontinuities on curved surfaces, Third International Conference on Computer Vision, 304–308.\nD. Terzopoulos and D. Metaxas, Dynamic 3D models with local and global deformations: Deformable superquadrics. Third International Conference on Computer Vision, 606–615.\nM. Sallam, J. Stewman, and K. Bowyer, Computing the visual potential of an articulated assembly of parts, Third International Conference on Computer Vision, 636–643.\nTheoharis, 1989\n1990, 6, 1\n1990, 6, 119\n1990, 24, 1\nBryand, 1989, Display of discrete 3D binary objects: I-Shading, Computers and Graphics, 13, 441, 10.1016\u002F0097-8493(89)90005-8\nSamet, 1989, Implementing ray tracing with octrees and neighbor finding, Computers and Graphics, 13, 445, 10.1016\u002F0097-8493(89)90006-X\nPöpsel, 1990, Highlight shading: Lighting and shading in a PHIGS + \u002FPEX environment, Computers and Graphics, 14, 55, 10.1016\u002F0097-8493(90)90009-M\nXu, 1990, Accelerated radiosity method for complex environments, Computers and Graphics, 14, 65, 10.1016\u002F0097-8493(90)90010-U\nClaussen, 1990, On reducing the Phong shading method, Computers and Graphics, 14, 73, 10.1016\u002F0097-8493(90)90011-L\nDennis, 1990, An overview of rendering techniques, Computers and Graphics, 14, 101, 10.1016\u002F0097-8493(90)90014-O\nNey, 1990, Volumetric rendering of computed tomography data: Principles and techniques, IEEE Computer Graphics and Applications, 10, 24, 10.1109\u002F38.50670\nLevoy, 1990, A hybrid ray tracer for rendering polygon and volume data, IEEE Computer Graphics and Applications, 10, 33, 10.1109\u002F38.50671\nTiede, 1990, Investigation of medical 3D-rendering algorithms, IEEE Computer Graphics and Applications, 10, 41, 10.1109\u002F38.50672\nGeorge, 1990, Radiosity redistribution for dynamic environments, IEEE Computer Graphics and Applications, 10, 26, 10.1109\u002F38.56296\nWang, 1990, Visibility determination on projected grid surfaces, IEEE Computer Graphics and Applications, 10, 36, 10.1109\u002F38.56297\nApodaca, 1990, RenderMan: Pursuing the future of graphics, IEEE Computer Graphics and Applications, 10, 44, 10.1109\u002F38.56298\nLathrop, 1990, Accurate rendering by subpixel addressing, IEEE Computer Graphics and Applications, 10, 45, 10.1109\u002F38.59036\nMusgrave, 1990, A note on ray tracing mirages, IEEE Computer Graphics and Applications, 10, 10, 10.1109\u002F38.62692\nWoo, 1990, A survey of shadow algorithms, IEEE Computer Graphics and Applications, 10, 13, 10.1109\u002F38.62693\nWolff, 1990, Ray tracing with polarization parameters, IEEE Computer Graphics and Applications, 10, 44, 10.1109\u002F38.62695\nBern, 1990, Hidden surface removal for rectangles, Journal of Computer and System Sciences, 40, 49, 10.1016\u002F0022-0000(90)90018-G\nRushmeier, 1990, Extending the radiosity method to include specularly reflecting and translucent materials, ACM Transactions on Graphics, 9, 1, 10.1145\u002F77635.77636\nLevoy, 1990, Efficient ray tracing of volume data, ACM Transactions on Graphics, 9, 245, 10.1145\u002F78964.78965\nF. P. Preparata, J. S. Vitter, and M. Yvinec, Computation of the axial view of a set of isothetic parallelpipeds, ACM Transactions on Graphics9, 278–300.\nLevoy, 1990, Volume rendering by adaptive refinement, The Visual Computer, 6, 2, 10.1007\u002FBF01902624\nWebber, 1990, Ray tracing voxel data via biquadratic local surface interpolation, The Visual Computer, 6, 8, 10.1007\u002FBF01902625\nCohen, 1990, Real time discrete shading, The Visual Computer, 6, 16, 10.1007\u002FBF01902626\nHöhne, 1990, 3D visualization of tomographic volume data using the generalized voxel model, The Visual Computer, 6, 28, 10.1007\u002FBF01902627\nFrederick, 1990, Brain peeling: Viewing the inside of a laminar three-dimensional solid, The Visual Computer, 6, 37, 10.1007\u002FBF01902628\nGreen, 1990, A highly flexible multiprocessor solution for ray tracing, The Visual Computer, 6, 62, 10.1007\u002FBF01901067\nZeevi, 1990, Computer image generation for flight simulators: The Gabor approach, The Visual Computer, 6, 93, 10.1007\u002FBF01901070\nHofmann, 1990, Who invented ray tracing? A historical remark, The Visual Computer, 6, 120, 10.1007\u002FBF01911003\nLischinski, 1990, Improved techniques for ray tracing parametric surfaces, The Visual Computer, 6, 134, 10.1007\u002FBF01911005\nMacDonald, 1990, Heuristics for ray tracing using space subdivision, The Visual Computer, 6, 153, 10.1007\u002FBF01911006\nCharney, 1990, Efficient traversal of well-behaved hierarchical trees of extents for ray-tracing complex scenes, The Visual Computer, 6, 167, 10.1007\u002FBF01911007\nM. Kass and G. Miller, Rapid, stable fluid dynamics for computer graphics, SIGGRAPH'89 Conference, 49–57.\nN. Max, Cone-spheres, SIGGRAPH'89 Conference, 59–62.\nJ. Arvo and D. Kirk, Paricle transport and image synthesis, SIGGRAPH'89 Conference, 63–66.\nD. Salesin and J. Stolfi, Rendering CSG models with a ZZbuffer, SIGGRAPH'89 Conference, 67–76.\nW. R. Franklin and M. W. Kankanhalli, Parallel object-space hidden surface removal, SIGGRAPH'89 Conference, 87–94.\nG. Elber and E. Cohen, Hidden curve removal for free form surfaces, v, 95–104.\nS. E. Chen, Incremental radiosity: An extension of progressive radiosity to an interactive image synthesis system, SIGGRAPH'89 Conference, 135–144.\nA. T. Campbell III and D. S. Fussell, Adaptive mesh generation for global diffuse illumination, SIGGRAPH'89 Conference, 155–164.\nT. Saito and T. Takahashi, Comprehensible rendering of 3-D shapes, SIGGRAPH'89 Conference, 197–206.\nP. Hanrahan and P. Haeberli, Direct WYSIWYG painting and texturing on 3-D shapes, SIGGRAPH'89 Conference, 215–223.\nP. Poulin and A. Fournier, A model for anisotropic reflection, SIGGRAPH'89 Conference, 273–282.\nG. D. Abram and T. Whitted, Building block shaders, SIGGRAPH'89 Conference, 283–288.\nP. Hanrahan and J. Lawson, A language for shading and lighting calculations, SIGGRAPH'89 Conference, 289–298.\nD. Kirk and D. Voorhies, The rendering architecture of the DN10000VS, SIGGRAPH'89 Conference, 299–307.\nP. Haeberli and K. Akeley, The accumulation buffer: Hardware support for high-quality rendering, SIGGRAPH'89 Conference, 309–318.\nT. Nishita, T. W. Sederberg, and M. Kakimoto, Ray tracing trimmed rational surface patches, SIGGRAPH'89 Conference, 337–345.\nD. S. Ebert and R. E. Parent, Rendering and animation of gaseious phenomena by combining fast volume and scanline A-buffer techniques, SIGGRAPH'89 Conference, 357–366.\nL. Westover, Footprint evaluation for volume rendering, SIGGRAPH'89 Conference, 367–376.\nM. Watt, Light-water interaction using backward beam tracing, SIGGRAPH'89 Conference, 377–385.\nK. Sims, Particle animation and rendering using data parallel computation, SIGGRAPH'89 Conference, 405–413.\nGrimson, 1990\nFan, 1990\nGrimson, 1990, The combinatorics of object recognition in cluttered environments using constrained search, Artificial Intelligence, 44, 121, 10.1016\u002F0004-3702(90)90100-E\nLiu, 1990, 3D curved object recognition from multiple 3D camera views, Computer Vision, Graphics, and Image Processing, 50, 177, 10.1016\u002F0734-189X(90)90040-3\nBrady, 1989, Recent progress in object recognition from range data, Image and Vision Computing, 7, 295, 10.1016\u002F0262-8856(89)90033-4\nHolder, 1990, Polyhedral object recognition with sparse data—Validation of interpretations, Image and Vision Computing, 8, 124, 10.1016\u002F0262-8856(90)90027-3\nShapiro, 1990, Accumulator-based inexact matching using relational summaries, Machine Vision and Applications, 3, 143, 10.1007\u002FBF01214427\nLie, 1990, Model-based recognition and positioning of polyhedra using intensity-guided range sensing and interpretation in 3-D space, Pattern Recognition, 23, 983, 10.1016\u002F0031-3203(90)90107-V\nShankar, 1990, Three-dimensional object recognition on the Connection Machine, Pattern Recognition Letters, 11, 485, 10.1016\u002F0167-8655(90)90083-E\nBen-Arie, 1990, The probabilistic peaking effect of viewed angles and distances with application to 3-D object recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 760, 10.1109\u002F34.57667\nMarefat, 1990, Geometric reasoning for recognition of three-dimensional object features, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 949, 10.1109\u002F34.58868\nMorris, 1990, Neural network techniques for object orientation detection: Solution by optimal feedforward network and learning vector quantization approaches, IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 1107, 10.1109\u002F34.61712\nSafranek, 1990, Evidence accumulation using binary frames of discernment for verification vision, IEEE Transactions on Robotics and Automation, 6, 405, 10.1109\u002F70.59366\nLamdan, 1990, Affine invariant model-based object recognition, IEEE Transactions on Robotics and Automation, 6, 578, 10.1109\u002F70.62047\nHaralick, 1989, Pose estimation from corresponding point data, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1426, 10.1109\u002F21.44063\nHoffman, 1989, CAD-driven machine vision, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1477, 10.1109\u002F21.44066\nChen, 1989, A robot vision system for recognizing 3-D objects in low-order polynomial time, IEEE Transactions on Systems, Man, and Cybernetics, 19, 1535, 10.1109\u002F21.44070\nD. DeMenthon and L. S. Davis, Inverse perspective of a triangle: New exact and approximate solutions, First European Conference on Computer Vision, 369–373.\nD. G. Lowe, Stabilized solution for 3-D model parameters, First European Conference on Computer Vision, 408–412.\nM. Dhome, J. T. Lapreste, G. Rives, and M. Richetin, Spatial localization of modelled objects of revolution in monocular perspective vision, First European Conference on Computer Vision, 475–485.\nW. E. L. Grimson and D. P. Huttenlocher, On the verification of hypothesized matches in model-based recognition, First European Conference on Computer Vision, 489–498.\nA. J. Bray, Object recognition using local geometric constraints: A robust alternative to tree-search, First European Conference on Computer Vision, 499–515.\nD. Holder and H. Buxton, SIMD geometric matching, First European Conference on Computer Vision, 516–520.\nH. J. Wolfson, Model-based object recognition by geometric hashing, First European Conference on Computer Vision, 526–536.\nR. M. Bodington, G. D. Sullivan, and K. D. Baker, Experiments on the use of the ATMS to label features for object recognition, First European Conference on Computer Vision, 542–551.\nW. E. L. Grimson, The combinatorics of heuristic search termination for object recognition in cluttered environments, First European Conference on Computer Vision, 552–556.\nJ. D. Andersen, Combinatorial characterization of perspective projections from polyhedral object scenes, First European Conference on Computer Vision, 559–562.\nR. Wang and H. Freeman, Object recognition based on characteristic view classes, Tenth International Conference on Pattern Recognition-A, 8–12.\nK. S. Hong, K. Ikeuchi, and K. D. Gremban, Minimum cost aspect classification: A module of a vision algorithm computer, Tenth International Conference on Pattern Recognition-A, 65–69.\nH. Dohi and M. Ishizuka, A 3-D vision system incorporating solid modeler and geometric reasoning, Tenth International Conference on Pattern Recognition-A, 185–187.\nM. Heuser and C. E. Liedtke, Recognition of the spatial position of industrial 3D objects using relaxation techniques, Tenth International Conference on Pattern Recognition-A, 191–193.\nX. Y. Jiang and H. Bunke, Recognizing 3-D objects in needle maps, Tenth International Conference on Pattern Recognition-A, 237–239.\nS. Basu, A. Gupta, N. Sarkar, and D. Dutta Majumder, Knowledge representation for vision: An associative network for single object representation and recognition, Tenth International Conference on Pattern Recognition-A, 297–299.\nR. Bergevin and M. D. Levine, Extraction of line drawing features for object recognition, Tenth International Conference on Pattern Recognition-B, 496–501.\nG. Taubin and D. B. Cooper, Recognition and positioning of piecewise algebraic objects, Image Understanding Workshop, 508–514.\nF. Stein and G. Medioni, TOSS—A system for efficient three dimensional object recognition, Image Understanding Workshop, 537–543.\nD. Clemens and D. Jacobs, Model-group indexing for recognition, Image Understanding Workshop, 604–613.\nR. Kumar and A.R. Hanson, Pose refinement: Application to model extension and sensitivity to camera parameters, Image Understanding Workshop, 660–669.\nA. J. Heller and J. L. Mundy, Benchmark evaluation of a model-based object recognition system, Image Understanding Workshop, 727–741.\nW. A. Wolovich, Force\u002Ftorque sensing for object recognition, Image Understanding Workshop, 919–921.\nJ. G. Verly and R. L. Delanoy, Appearance-model-based representation and matching of 3-D objects, Third International Conference on Computer Vision, 248–256.\nS. J. Dickinson, A. P. Pentland, and A. Rosenfeld, Qualitative 3-D shape reconstruction using distributed aspect graph matching, Third International Conference on Computer Vision, 257–262.\nP. J. Flynn and A. K. Jain, BONSAI: 3D object recognition using constrained search, Third International Conference on Computer Vision, 263–267.\nJ. L. Mundy and A. J. Heller, The evolution and testing of a model-based object recognition system, Third International Conference on Computer Vision, 268–282.\nP. R. Cooper, Parallel structure recognition with uncertainty: Coupled segmentation and matching, Third International Conference on Computer Vision, 287–290.\nB. A. Draper and E. M. Riseman, Learning 3D object recognition strategies, Third International Conference on Computer Vision, 320–324.\nR. M. Bolle, A. Califano, R. Kjeldsen, and R. Mohan, Active 3D object models, Third International Conference on Computer Vision, 329–333.\nR. Kumar and A. R. Hanson, Sensitivity of the pose refinement problem to accurate estimation of camera parameters, Third International Conference on Computer Vision, 365–369.\nH. H. Chen, Pose determination from line-to-plane correspondences: Existence condition and closed-form solutions, Third International Conference on Computer Vision, 374–378.\nY. Kuno, Y. Okamoto and S. Okada, Object recognition using a feature search strategy generated from a 3-D model, Third International Conference on Computer Vision, 626–635.\nW. E. L. Grimson, The effect of indexing on the complexity of object recognition, Third International Conference on Computer Vision, 644–651.\nD. M. Chelberg, Uncertainty in interpretation of range imagery, Third International Conference on Computer Vision, 654–657.\nW. B. Thompson, Vison-based navigation, Image Understanding Workshop, 141–143.\nT. M. Strat and M. A. Fischler, A context-based recognition system for natural scenes and complex domains, Image Understanding Workshop, 456–472.\nW. B. Thompson, H. L. Pick, Jr., B. H. Bennett, M. R. Heinrichs, S. L. Savitt, and K. Smith, Map-based localization: The “drop-off” problem, Image Understanding Workshop, 706–719.",{"EN":1036},"Image analysis and computer vision: 1990",{"VOID":1038},"10.1016\u002F1049-9660(91)90020-p","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F104996609190020P",[1041],{"id":1042,"sortIndex":36,"researcher":26,"roles":1043,"affiliations":1044,"properties":1053},"ffb18e20-6926-4b41-965a-219755b3200a",[910],[1045],{"id":26,"sortIndex":36,"affiliation":1046,"properties":26},{"id":1047,"createTime":1048,"updateTime":1048,"relativeEntities":1049,"slug":26,"properties":1050,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"7c158c61-8ed1-4880-b74a-91d9a02bd598","2023-12-14T18:43:01.744+00:00",[],{"title":1051},{"VI":1052},"Center for Automation Research, University of Maryland, College Park, Maryland 20742-3411 USA",{"title":1054},{"VI":1055},"Azriel Rosenfeld",{"url":1039,"publisher":1057,"properties":1065},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":1058,"slug":663,"properties":1059,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":1062,"manageAffiliations":1063,"indexDatabases":1064,"url":26,"thumbnailPath":26,"statistic":26,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"issn":1060,"title":1061},{"VOID":666},{"EN":668},[],[],[],{"volume":1066,"pages":1067},{"VOID":730},{"VOID":1068},"322-365","1991-05-01",{"id":1071,"createTime":1072,"updateTime":1073,"relativeEntities":1074,"slug":1075,"properties":1076,"entityType":692,"verifyStatus":25,"verifyTime":1073,"verifyNote":693,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"primaryUrl":1083,"fullTextUrl":26,"authors":1084,"publicationType":718,"publisherRelationship":1100,"citationCount":26,"citationInfo":26,"publishDate":1114,"publishYear":740,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":26,"isForceReanalyzing":783},"abfefbc9-f4e3-414a-8349-8527b4926ea3","2023-12-01T21:43:46.049+00:00","2024-12-05T18:28:59.981+00:00",[],"Linear-time-distance-transforms-for-quadtrees",{"references":1077,"title":1079,"doi":1081},{"VOID":1078},"Samet, 1989\nSamet, 1990\nGargantini, 1982, An effective way to represent quadtrees, Commun. ACM, 25, 905, 10.1145\u002F358728.358741\nKawaguchi, 1980, On a method of binary picture representation and its application to data compression, IEEE Trans. Pattern Anal. Mach. Intelligence, 2, 27, 10.1109\u002FTPAMI.1980.4766967\nSamet, 1982, Neighbor finding techniques for images represented by quadtrees, Comput. Graphics Image Process., 18, 37, 10.1016\u002F0146-664X(82)90098-3\nSamet, 1985, A model for the analysis of neighbor finding in pointer-based quadtrees, IEEE Trans. Pattern Anal. Mach. Intelligence, 7, 717, 10.1109\u002FTPAMI.1985.4767729\nShaffer, 1987, Optimal quadtree construction algorithms, Comput. Vision Graphics Image Process., 37, 402, 10.1016\u002F0734-189X(87)90045-4\nSamet, 1982, Distance transform for images represented by quadtrees, IEEE Trans. Pattern Anal. Mach. Intelligence, 4, 298, 10.1109\u002FTPAMI.1982.4767246\nSamet, 1983, A quadtree medial axis transform, Commun. ACM, 26, 680, 10.1145\u002F358172.358409\nSamet, 1985, A top-down quadtree traversal algorithm, IEEE Trans. Pattern Anal. Mach. Intelligence, 7, 94, 10.1109\u002FTPAMI.1985.4767622\nJackins, 1983, Quad-trees, oct-trees and k-trees—A generalized approach to recursive decomposition of Euclidean space, IEEE Trans. Pattern Anal. Mach. Intelligence, 5, 533, 10.1109\u002FTPAMI.1983.4767433\nRosenfeld, 1982, Application of Hierarchical Data Structures to Geographic Information Systems\nSamet, 1984, On encoding boundaries with quadtrees, IEEE Trans. Pattern Anal. Mach. Intelligence, 6, 365, 10.1109\u002FTPAMI.1984.4767529\nSamet, 1985, Computing geometric properties of images represented by linear quadtrees, IEEE Trans. Pattern Anal. Mach. Intelligence, 7, 229, 10.1109\u002FTPAMI.1985.4767646",{"EN":1080},"Linear time distance transforms for quadtrees",{"VOID":1082},"10.1016\u002F1049-9660(91)90064-v","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002F104996609190064V",[1085],{"id":1086,"sortIndex":36,"researcher":26,"roles":1087,"affiliations":1088,"properties":1097},"32318cb6-0ae5-436b-a9e3-0ca8751bd037",[910],[1089],{"id":26,"sortIndex":36,"affiliation":1090,"properties":26},{"id":1091,"createTime":1092,"updateTime":1092,"relativeEntities":1093,"slug":26,"properties":1094,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"a1689b0e-2890-42ae-86fe-0823d727d129","2023-12-01T21:43:46.066+00:00",[],{"title":1095},{"VI":1096},"Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0106 USA",{"title":1098},{"VI":1099},"Clifford A. 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J. Comput. Vision, 1, 333, 10.1007\u002FBF00133571\nAyache, 1989, Maintaining representations of the environment of a mobile robot, IEEE Trans. Rob. Autom., RA-5, 804, 10.1109\u002F70.88101\nBajcsy, 1985, Active perception vs passive perception, 13\nBallard, 1989, Animate vision, Opt. News, 15, 17\nBartlett, 1990, Depth determination using complex logarithmic mapping, Vol. 1382\nBertero, 1988, Ill-posed problems in early vision, 76, 869\nBraccini, 1982, A model of the early stages of the human visual system: Functional and topological transformation performed in the peripheral visual field, Biol. 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