Learning appearance and transparency manifolds of occluded objects in layers

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2003, Pages

  Frey, Brendan J ^a   Jojic, Nebojsa ^b   Kannan, Anitha ^a  

^a UNIVERSITY OF TORONTO   (Canada)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DEGREES OF FREEDOM (MECHANICS); MAPPING; MATHEMATICAL MODELS; MOTION ESTIMATION; PRINCIPAL COMPONENT ANALYSIS;

FACTOR ANALYSIS; LINEAR SUBSPACE MODELS; MANIFOLD MODELING; RESOLVE OCCLUSION AMBIGUITIES;

IMAGE ANALYSIS;

EID: 0042440795     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. I. T. Jolliffe, Principal Component Analysis, Springer-Verlag, New York NY., 1986.
2. D. Rubin and D. Thayer, "EM algorithms for ML factor analysis," Psychometrika, vol. 47, no. 1, pp. 69-76, 1982.
3. M. Turk and A Pentland, "Eigenfaces for recognition," Journal of Cognitive Neuroscience, vol. 3, no. 1991.
4. C. Bregler and S. M. Omohundro, "Surface learning with applications to lip-reading," in Advances in Neural Information Processing Systems 6, J. D. Cowan, G. Tesauro, and J. Alspector, Eds., pp. 43-50. Morgan Kaufmann, San Francisco CA., 1994.
5. S. K. Nayar, S. Baker, and H. Murase, "Parametric feature detection," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1996.
6. P. Hallinan, A deformable model for the recognition of human faces under arbitrary illumination, harvard University, 1995, Doctoral dissertation.
7. C. Nastar, B. Moghaddam and A. Pentland, "Generalized image matching: Statistical learning of physically-based deformations," in Proceedings of the European Conference on Computer Vision, 1996.
8. D. beymer, "Feature correspondence by interleaving shape and texture computations," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1996.
9. B. Moghaddam and A. Pentland, "Probabilistic visual learning for object recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 696-710, July 1997.
10. G. Hager and P. Belhumeur, "Real-time tracking of image regions with changes in geometry and illumination," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1996.
11. D. J. Fleet, M. J. Black, and Y. Yacoob, "Design and use of linear models for image motion analysis," International Journal of Computer Vision, vol. 36, no. 3, 171-193, 2000.
12. A. Blake and M. Isard, Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion, Springer-Verlag, New York NY., 1998.
13. M. J. Black and A. D. Jepson, "Eigentracking: Robust matching and tracking of articulated objects using a view-based representation," International Journal of Computer Vision, vol. 26, no. 1, pp. 63-84, 1998.
14. C. BenAbdelkader, R. Cutler, and L. Davis, "Motion-based recognition of people in eigen-gait space," in Proceedings of the Fifth International Conference on Automatic Face and Gesture Recognition, 2002.
15. A. Kannan, N. Jojic, and B. J. Frey, "Fast transformation-invariant factor analysis," in Advances in Neural Information Processing Systems 2002, Volume 15. MIT Press, Cambridge MA., 2003.
16. F. De la Torre and M. J. Black, "A framework for robust subspace learning," International Journal on Computer Vision, 2002.
17. G. E. Hinton, M. Revow, and P. Dayan, "Recognizing handwritten digits using mixtures of linear models," in Advances in Neural Information Processing Systems 7, G. Tesauro, D. Touretzky, and T. Leen, Eds. 1995, pp. 1015-1022, MIT Press.
18. Z. Ghahramani and G. E. Hinton, "The EM algorithm for mixtures of factor analyzers," University of Toronto Technical Report CRG-TR-96-1, 1997.
19. B. J. Frey, A. Colmenarez, and T. S. Huang, "Mixtures of local linear subspaces for face recognition," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 1998, pp. 32-37.
20. S. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 5500, pp. 2323-2326, 2001.
21. A. Wilson and A. Bobick, "Parametric hidden Markov models for gesture recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 9, 1999.
22. B. J. Frey and N. Jojic, "Estimating mixture models of images and inferring spatial transformations using the EM algorithm," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 1999, pp. 416-422.
23. B. J. Frey and N. Jojic, "Transformation-invariant clustering using the EM algorithm," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 1, pp. 2003.
24. C. W. Williams and M. K. Titsias, "Learning about multiple objects in images: Factorial learning without factorial search," in Advances in Neural Information Processing Systems 15, S. Becker, S. Thrun, and K. Obermayer, Eds. MIT Press, Cambridge MA., 2003.
25. N. Jojic and B. J. Frey, "Learning flexible sprites in video layers," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2001.
26. E. H. Adelson and P. Anandan, "Ordinal characteristics of transparency," in Proceedings of AAAI Workshop on Qualitative Vision, 1990.
27. B. J. Frey and N. Jojic, "Fast, large-scale transformation-invariant clustering," in Advances in Neural Information Processing Systems 14. MIT Press, Cambridge MA., 2001.
28. B. J. Frey and N. Jojic, "Advances in algorithms for inference and learning in complex probability models," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, to appear as an invited tutorial paper.
29. B. J. Frey, N. Jojic, "Transformed component analysis: Joint estimation of spatial transformations and image components," in Proceedings of the IEEE International Conference on Computer Vision, September 1999.
30. N. Jojic, P. Simard, B. J. Frey, and D. Heckerman, "Separating appearance from deformation," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, July 2001.
31. C. M. Bishop, M. Svensén, and C. K. I. Williams, "Gtm: the generative topographic mapping," Neural Computation, vol. 10, no. 1, pp. 215-235, 1998.
32. J. B. Tenenbaum and W. T. Freeman, "Separating style and content," in Advances in Neural Information Processing Systems 9, M. C. Mozer, M. I. Jordan, and T. Petsche, Eds. MIT Press, Cambridge MA., 1997.
33. B. J. Frey, A. Kannan, and N. Jojic, "Product analysis: Learning to model observations as products of hidden variables," in Advances in Neural Information Processing Systems 14, S. Becker T. G. Dietterich and Z. Ghahraman, Eds. MIT Press, Cambridge MA., 2002.