Multi-sensor calibration through iterative registration and fusion
Tài liệu tham khảo
Adams, 2001, Multisensor CMMs add flexibility, Quality Magazine, 40, 28
Bergevin, 1996, Towards a general multi-view registration technique, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 540, 10.1109/34.494643
Besl, 1992, A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 239, 10.1109/34.121791
Boughorbel F, Koschan A, Abidi M. Multi-sensor registration and integration for inspection and navigation. In: Proc. of 10th int. conf. on robotics & remote systems for hazardous environments. 2004. p. 102–6
Cheng Y, Medioni G. Object modeling by registration of multiple range images. In: Proceedings of IEEE international conference on robotics and automation. 1991. p. 2724–9
ConoProbe
Eggert, 1998, Simultaneous registration of multiple range views for use in reverse engineering of CAD models, Computer Vision and Image Understanding, 69, 253, 10.1006/cviu.1998.0667
Gagnon H, Soucy M, Bergevin R, Laurendeau D. Registration of multiple range views for automatic 3-D model building. In: Proceedings of 1994 IEEE computer society conference on computer vision and pattern recognition. 1994. p. 581–6
Gelfand N, Ikemoto L, Rusinkiewicza S, Levoy M. Geometrically stable sampling for the ICP algorithm. In: The 4th international conference on 3D-digital imaging and modeling. 2003. p. 260–7
Gelfand N, Mitra NJ, Guibas L, Pottmann H. Robust global registration. In: Eurographics symposium on Geometry processing. 2005. p. 197–206
Gilman, 2005, Quality measurement: Multisensor metrology boosts lean manufacturing, Quality Magazine, 44, 32
Harding, 2001, Calibration methods for 3D measurement systems, Proceedings of SPIE on Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology, 4189, 239, 10.1117/12.417199
Harding, 1999, Sine wave artifact as a means of calibrating structured light systems, Proceedings of SPIE, 3835, 192, 10.1117/12.370261
Huang, 2007, A dynamic sensing-and-modeling approach to 3D point- and area-sensor integration, ASME Transactions Journal of Manufacturing Science and Engineering, 129, 623, 10.1115/1.2714585
Huang, 2007, Dynamic B-spline surface reconstruction: Closing the sensing-and-modeling loop in 3D digitization, Computer Aided-Design, 39, 941, 10.1016/j.cad.2007.06.008
Johnson AE. Spin-Images: A representation for 3-D surface matching. Ph.D. thesis. Carnegie Mellon University; 1997
Kohn, 1987, A new algorithm for spline smoothing based on smoothing a stochastic process, SIAM Journal on Scientific and Statistical Computing, 8, 33, 10.1137/0908004
Krishnan S, Lee P, Moore JB, Venkatasubramanian S. Global registration of multiple 3D point sets via optimization-on-a-manifold. In: Eurograhics Symposium on Geometry Processing. 2005. p. 1–11
Majlak, 2005, Quality measurement: Managing multisensor technology for CMMS, Quality Magazine, 44, 34
Masuda T, Yokoya N. A robust method for registration and segmentation of multiple range images. CAD-Based Vision Workshop. In: Proceedings of the 1994 second. 1994. p. 106–13
Okatani, 2002, A method for fine registration of multiple view range images considering the measurement error properties, Computer Vision and Image Understanding, 87, 66, 10.1006/cviu.2002.0983
van Lawick van Pabst, 1993, Multi sensor data fusion of points, line segments and surface segments in 3D space, vol. 2059, 190
Piegl, 1997
Pless R, Zhang Q. Extrinsic calibration of a camera and laser range finder. Technical report. Washington University in St. Louis-School of Engineering & Applied Science; 2003
Pottmann, 2006, Geometry and convergence analysis of algorithms, International Journal of Computer Vision, 67, 277, 10.1007/s11263-006-5167-2
Pulli K. Multi-view registration for large datasets. In: Second international conference on 3D digital imaging and modeling. 1999. p. 160–8
Rasmussen, 2006
Rusinkiewics S, Levoy M. Efficient variants of the ICP algorithm. In: Proceedings of 3D digital imaging and modeling. 2001. p. 145–52
Rusinkiewicz, 2002, Real-time 3D model acquisition, ACM Transactions on Graphics, 21, 10.1145/566654.566600
Sharp, 2002, ICP registration using invariant features, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 90, 10.1109/34.982886
Sharp, 2004, Multiview registration of 3D scenes by minimizing error between coordinate frames, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 1037, 10.1109/TPAMI.2004.49
Shen, 2001, Automatic camera calibration for a multiple sensor integrated coordinate measurement system, IEEE Transactions on Robotics and Automation, 17, 502, 10.1109/70.954763
Smith, 2000, Point laser triangulation probe calibration for coordinate metrology, ASME Transactions Journal of Manufacturing Science and Engineering, 122, 10.1115/1.1286256
Sorenson, 1970, Least-squares estimation: From Gauss to Kalman, IEEE Spectrum, 7, 63, 10.1109/MSPEC.1970.5213471
Stamos I, Leordeanu M. Automated feature based range image registration of urban scenes of large scale, In: IEEE International conference of computer vision and pattern recognition. 2003. p. 555–61
Stoddart AJ, Hilton A. Registration of multiple point sets. In: International conference of pattern and recognition. 1996. p. 40–4
Tylavsky, 1986, Generalization of the matrix inversion lemma, Proceedings of the IEEE, 74, 1050, 10.1109/PROC.1986.13587
Wang, 1994, On 3D model construction by fusing heterogeneous sensor data, CVGIP: Image Understanding, 60, 210, 10.1006/ciun.1994.1048
Wang, 1991, A new method for sensor data fusion in machine vision, vol. 1570, 31
Welch G, Bishop G. An introduction to the Kalman filter. Technical report. TR-95-041. Department of Computer Science, University of North Carolina at Chapel Hill; 2004
Wen, 2005, Total least squares fitting of point sets in m-d, 22
Zhang, 1994, Iterative point matching for registration of free-form curves and surfaces, International Journal of Computer Vision, 13, 119, 10.1007/BF01427149
Zhang, 1997, Parameter estimation techniques: A tutorial with application to conic fitting, Image and Vision Computing, 15, 59, 10.1016/S0262-8856(96)01112-2
Huang Q, Adams B, Wang M. Bayesian surface reconstruction via iterative scan alignment to an optimized prototype. In: Proc. 5th eurographics symposium on geometry processing. 2007. p. 213–23