Combining Generative and Discriminative Models in a Framework for Articulated Pose Estimation
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[1] Andrew Blake,et al. Articulated body motion capture by annealed particle filtering , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[2] J. Hammersley. SIMULATION AND THE MONTE CARLO METHOD , 1982 .
[3] William T. Freeman,et al. Bayesian Reconstruction of 3D Human Motion from Single-Camera Video , 1999, NIPS.
[4] David C. Hogg. Model-based vision: a program to see a walking person , 1983, Image Vis. Comput..
[5] Alex Pentland,et al. Pfinder: real-time tracking of the human body , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.
[6] Michael J. Black,et al. Learning and Tracking Cyclic Human Motion , 2000, NIPS.
[7] Michael I. Jordan,et al. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes , 2001, NIPS.
[8] J. Friedman. Multivariate adaptive regression splines , 1990 .
[9] G. Johansson. Visual perception of biological motion and a model for its analysis , 1973 .
[10] Ioannis A. Kakadiaris,et al. Estimating anthropometry and pose from a single image , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[11] Yoshiaki Shirai,et al. Hand gesture estimation and model refinement using monocular camera-ambiguity limitation by inequality constraints , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.
[12] Geoffrey E. Hinton,et al. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants , 1998, Learning in Graphical Models.
[13] Trevor J. Hastie,et al. Discriminative vs Informative Learning , 1997, KDD.
[14] Michael J. Black,et al. Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motion , 1995, Proceedings of IEEE International Conference on Computer Vision.
[15] Vladimir Pavlovic,et al. Learning Switching Linear Models of Human Motion , 2000, NIPS.
[16] Taizo Iijima,et al. A Theory of Character Recognition by Pattern Matching Method , 1974 .
[17] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[18] H. Hartley. Maximum Likelihood Estimation from Incomplete Data , 1958 .
[19] Song-Chun Zhu,et al. Modeling Visual Patterns by Integrating Descriptive and Generative Methods , 2004, International Journal of Computer Vision.
[20] S. Sclaroff,et al. The Specialized Mappings Architecture , 2003 .
[21] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.
[22] R. Okafor. Maximum likelihood estimation from incomplete data , 1987 .
[23] Brian Sallans,et al. A Hierarchical Community of Experts , 1999, Learning in Graphical Models.
[24] Daniel P. Huttenlocher,et al. Efficient matching of pictorial structures , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[25] Larry S. Davis,et al. Towards 3-D model-based tracking and recognition of human movement: a multi-view approach , 1995 .
[26] Judea Pearl,et al. Probabilistic reasoning in intelligent systems , 1988 .
[27] Camillo J. Taylor,et al. Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image , 2000, Comput. Vis. Image Underst..
[28] Geoffrey J. McLachlan,et al. Discriminant Analysis and Statistical Pattern Recognition: McLachlan/Discriminant Analysis & Pattern Recog , 2005 .
[29] Larry S. Davis,et al. Ghost: a human body part labeling system using silhouettes , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[30] David J. C. Mackay,et al. Introduction to Monte Carlo Methods , 1998, Learning in Graphical Models.
[31] Shun-ichi Amari,et al. Information geometry of the EM and em algorithms for neural networks , 1995, Neural Networks.
[32] Stan Sclaroff,et al. Estimation and prediction of evolving color distributions for skin segmentation under varying illumination , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[33] David J. Fleet,et al. Learning parameterized models of image motion , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[34] Takeo Kanade,et al. Model-based tracking of self-occluding articulated objects , 1995, Proceedings of IEEE International Conference on Computer Vision.
[35] Franz L. Alt,et al. Digital Pattern Recognition by Moments , 1962, JACM.
[36] Michael I. Jordan. Learning in Graphical Models , 1999, NATO ASI Series.
[37] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[38] Cristian Sminchisescu,et al. Covariance scaled sampling for monocular 3D body tracking , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[39] Jerome H. Friedman. Multivariate adaptive regression splines (with discussion) , 1991 .
[40] Thomas M. Cover,et al. Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing) , 2006 .
[41] Jian Cheng,et al. AIS-BN: An Adaptive Importance Sampling Algorithm for Evidential Reasoning in Large Bayesian Networks , 2000, J. Artif. Intell. Res..
[42] Ming-Kuei Hu,et al. Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.
[43] Yang Song,et al. Towards detection of human motion , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[44] Stan Sclaroff,et al. 3D hand pose reconstruction using specialized mappings , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[45] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[46] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[47] Jitendra Malik,et al. Tracking people with twists and exponential maps , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[48] Theofanis Sapatinas,et al. Discriminant Analysis and Statistical Pattern Recognition , 2005 .
[49] J. Rissanen. Stochastic Complexity and Modeling , 1986 .
[50] Matthew Brand,et al. Shadow puppetry , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[51] David C. Hogg,et al. Towards 3D hand tracking using a deformable model , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.