Learning Articulated Structure and Motion
暂无分享,去创建一个
[1] Richard S. Zemel,et al. Learning Articulated Skeletons from Motion , 2007, ICCV 2007.
[2] Geoffrey E. Hinton,et al. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants , 1998, Learning in Graphical Models.
[3] Geoffrey E. Hinton,et al. Parameter estimation for linear dynamical systems , 1996 .
[4] Andrew Zisserman,et al. Multiple View Geometry , 2009, Encyclopedia of Biometrics.
[5] T. Kanade,et al. A multi-body factorization method for motion analysis , 1995, ICCV 1995.
[6] Y. Weiss,et al. Multibody factorization with uncertainty and missing data using the EM algorithm , 2004, CVPR 2004.
[7] Yang Song,et al. Learning probabilistic structure for human motion detection , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[8] Marc Pollefeys,et al. A General Framework for Motion Segmentation: Independent, Articulated, Rigid, Non-rigid, Degenerate and Non-degenerate , 2006, ECCV.
[9] D Thalmann,et al. Using skeleton-based tracking to increase the reliability of optical motion capture. , 2001, Human movement science.
[10] Richard S. Zemel,et al. Unsupervised Learning of Skeletons from Motion , 2008, ECCV.
[11] Richard S. Zemel,et al. Learning Parts-Based Representations of Data , 2006, J. Mach. Learn. Res..
[12] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[13] Takeo Kanade,et al. Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.
[14] C. W. Gear,et al. Multibody Grouping from Motion Images , 1998, International Journal of Computer Vision.
[15] Ian D. Reid,et al. Articulated structure from motion by factorization , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[16] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[17] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[18] Yair Weiss,et al. Multibody factorization with uncertainty and missing data using the EM algorithm , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[19] Gene H. Golub,et al. Matrix computations , 1983 .
[20] D. Thalmann,et al. Local and Global Skeleton Fitting Techniques for Optical Motion Capture , Modeling and Motion Capture Techniques for Virtual Environments , 1998 .
[21] Marc Pollefeys,et al. A Factorization-Based Approach to Articulated Motion Recovery , 2005, CVPR.
[22] David A. Ross. Learning Probabilistic Models for Visual Motion , 2008 .
[23] Vítězslav Beran,et al. Robust motion segmentation for on-line application , 2012 .
[24] Yair Weiss,et al. Segmentation using eigenvectors: a unifying view , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[25] Marc Pollefeys,et al. Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[26] Pascal Fua,et al. Local and Global Skeleton Fitting Techniques for Optical Motion Capture , 1998, CAPTECH.
[27] Geoffrey E. Hinton,et al. The EM algorithm for mixtures of factor analyzers , 1996 .
[28] Takeo Kanade,et al. A Multibody Factorization Method for Independently Moving Objects , 1998, International Journal of Computer Vision.
[29] Marc Pollefeys,et al. Articulated Motion Segmentation Using RANSAC with Priors , 2006, WDV.
[30] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[31] Marc Pollefeys,et al. A Factorization-Based Approach for Articulated Nonrigid Shape, Motion and Kinematic Chain Recovery From Video , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[33] Trevor Darrell,et al. Recovering Articulated Model Topology from Observed Rigid Motion , 2002, NIPS.
[34] Cristian Sminchisescu,et al. Estimating Articulated Human Motion with Covariance Scaled Sampling , 2003, Int. J. Robotics Res..
[35] Yang Song,et al. Unsupervised Learning of Human Motion , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[36] Pushmeet Kohli,et al. PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts , 2006, ECCV.
[37] Thomas Viklands. Algorithms for the Weighted Orthogonal Procrustes Problem and other Least Squares Problems , 2006 .
[38] P. Anandan,et al. Factorization with Uncertainty , 2000, International Journal of Computer Vision.
[39] Phil F. Culverhouse,et al. Robust Motion Segmentation by Spectral Clustering , 2003, BMVC.
[40] Yair Weiss,et al. Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence , 2003, NIPS.
[41] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[42] David A. Forsyth,et al. Skeletal parameter estimation from optical motion capture data , 2004, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[43] G. Johansson. Visual perception of biological motion and a model for its analysis , 1973 .