Dense Structure from a Dense Optical Flow Sequence
暂无分享,去创建一个
[1] Gilad Adiv,et al. Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[2] John J. Craig,et al. Introduction to Robotics Mechanics and Control , 1986 .
[3] E. J. Baranoski. Triangular factorization of inverse data covariance matrices , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.
[4] Steven A. Shafer,et al. Hypergeometric Filters for Optical Flow and Affine Matching , 1995, Proceedings of IEEE International Conference on Computer Vision.
[5] J. Oliensis,et al. Incorporating motion error in multi-frame structure from motion , 1991, Proceedings of the IEEE Workshop on Visual Motion.
[6] Hans-Hellmut Nagel,et al. The coupling of rotation and translation in motion estimation of planar surfaces , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[7] Joachim Heel,et al. Dynamical Systems and Motion Vision , 1988 .
[8] Thomas S. Huang,et al. Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Allen Hanson,et al. Refining 3D reconstruction: a theoretical and experimental study of the effect of cross-correlations , 1994 .
[10] Joachim Heel,et al. Temporally integrated surface reconstruction , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[11] William W. Hager,et al. Updating the Inverse of a Matrix , 1989, SIAM Rev..
[12] Alex Pentland,et al. Recursive Estimation of Motion, Structure, and Focal Length , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Steven A. Shafer,et al. Dense structure from a dense optical flow sequence , 1995, Proceedings of International Symposium on Computer Vision - ISCV.
[14] Narendra Ahuja,et al. Closed-form solution+maximum likelihood: a robust approach to motion and structure estimation , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[15] Richard Szeliski,et al. Recovering 3D Shape and Motion from Image Streams Using Nonlinear Least Squares , 1994, J. Vis. Commun. Image Represent..
[16] R. Chellappa,et al. Recursive 3-D motion estimation from a monocular image sequence , 1990 .
[17] A.H. Haddad,et al. Applied optimal estimation , 1976, Proceedings of the IEEE.
[18] H. C. Longuet-Higgins,et al. The interpretation of a moving retinal image , 1980, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[19] Gilad Adiv,et al. Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Gene H. Golub,et al. Scientific computing: an introduction with parallel computing , 1993 .
[21] C Tomasi,et al. Shape and motion from image streams: a factorization method. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[22] Berthold K. P. Horn,et al. Passive navigation , 1982, Comput. Vis. Graph. Image Process..
[23] Francis L. Merat,et al. Introduction to robotics: Mechanics and control , 1987, IEEE J. Robotics Autom..