Iterative 3D surface modelling from a sparse set of matched feature points
Proceedings. IEEE International Conference on Multimedia and Expo - Tập 1 - Trang 893-896 vol.1
Tóm tắt
We present an iterative algorithm to reconstruct a 3D object surface from a sparse set of matched feature points on the input stereo images of the object. The initial matches are sparse and do not have to be accurate. The reconstructed 3D surface is represented in terms of triangular polygons whose vertices are initially the 3D points corresponding to these matched feature points. In order to render photorealistic images of the surface, these feature points are iteratively updated. New feature points are added into the feature point set as well as the depth estimates of the feature points are refined. Experimental results showing the updated correspondences, reconstructed surfaces and virtual views rendered from new directions are presented.
Từ khóa
#Surface reconstruction #Shape #Image reconstruction #Rendering (computer graphics) #Surface texture #Iterative algorithms #Stereo image processing #Computer vision #Stereo vision #LayoutTài liệu tham khảo
10.1109/CVPR.1991.139663
10.1109/CVPR.2000.855837
faugeras, 1993, Three-Dimensional Computer Vision
hartley, 2000, Multiple View Geometry in Computer Vision
10.1109/ICCV.1998.710765
10.1023/A:1008191222954
10.1109/ICCV.1998.710694
10.1145/356893.356896
10.1109/TPAMI.1983.4767365
10.1109/34.16710
horn, 1970, Shape from shading A method for obtaining the shape of a smooth opaque object from one view
10.1109/34.232074
10.1016/0004-3702(86)90052-4
10.1016/0167-8655(87)90026-2
10.1007/BF01428192
10.1109/34.476513