Two-view motion segmentation by mixtures of dirichlet process with model selection and outlier removal

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Jian, Yong Dian ^a   Chen, Chu Song ^a,b  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CHLORINE COMPOUNDS; COMPUTER NETWORKS; COMPUTER VISION; IMAGE PROCESSING;

MOTION MODELING; MOTION SEGMENTATION;

BOOLEAN FUNCTIONS;

EID: 50649123702     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408974     Document Type: Conference Paper

References (26)

1. C. E. Antoniak. Mixtures of dirichlet processes with applications to bayesian nonparametric problems. Annals of Statistics, 2(6):1152-1174, 1974.
2. J. P. Costeira and T. Kanade. A multibody factorization method for independently moving objects. International Journal of Computer Vision, 29(3):159-179, 1998.
3. M. D. Escobar and M. West. Bayesian density-estimation and inference using mixtures. Journal of the American Statistical Association, 90(430):577-588, 1995.
4. T. Ferguson. A bayesian analysis of some nonparametric problems. Annals of Statistics, pages 209-230, 1973.
5. M. A. Fischler and R. C. Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381-395, 1981.
6. A. Gruber and Y. Weiss. Incorporating non-motion cues into 3d motion segmentation. In European Conference on Computer Vision, 2006.
7. R. I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, second edition, 2004.
8. K. Kanatani. Evaluation and selection of models for motion segmentation. In European Conference on Computer Vision, 2002.
9. M. P. Kumar, P. H. S. Torr, and A. Zisserman. Learning layered motion segmentations of video. In International Conference on Computer Vision, 2005.
10. D. G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
11. S. N. MacEachern and P. Muller. Estimating mixture of dirichlet process models. Journal of Computational and Graphical Statistics, 7(2):223-238, 1998.
12. A. Makadia, C. Geyer, S. Sastry, and K. Daniilidis. Radon-based structure from motion without correspondences. In IEEE Conf. on Computer Vision and Pattern Recognition, 2005.
13. R. M. Neal. Markov chain sampling methods for dirichlet process mixture. Journal of Computational and Graphical Statistics, 9(2):249-265, 2000.
14. D. Nister. An efficient solution to the five-point relative pose problem. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(6):756-770, 2004.
15. P. Orbanz and J. M. Buhmann. Smooth image segmentation by nonparametric bayesian inference. In Euporean Conference on Computer Vision, 2006.
16. K. Schindler and D. Suter. Two-view multibody structure-and-motion with outliers through model selection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(6):983-995, 2006.
17. E. Sudderth, A. Torralba, W. Freeman, and A. Willsky. Depth from familiar objects: A hierarchical model for 3d scenes. In IEEE Conf. on Computer Vision and Pattern Recognition, 2006.
18. C. Tomasi and T. Kanade. Shape and motion from image streams under orthography - a factorization method. International Journal of Computer Vision, 9(2):137-154, 1992.
19. P. H. S. Torr. Geometric motion segmentation and model selection. Philosophical Transactions of the Royal Society of London Series A, 356(1740):1321-1338, 1998.
20. R. Tron and R. Vidal. A benchmark for the comparison of 3-d motion segmentation algorithms. In IEEE Conf. on Computer Vision and Pattern Recognition, 2007.
21. R. Vidal, Y. Ma, S. Soatto, and S. Sastry. Two-view multibody structure from motion. International Journal of Computer Vision, 68(1):7-25, 2006.
22. L. Wolf and A. Shashua. Two-body segmentation from two perspective views. In IEEE Conf. on Computer Vision and Pattern Recognition, 2001.
23. J. J. Xiao and M. Shah. Motion layer extraction in the presence of occlusion using graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(10):1644-1659, 2005.
24. J. Y. Yan and M. Pollefeys. A general framework for motion segmentation: Independent, articulated, rigid, non-rigid, degenerate and non-degenerate. In European Conference on Computer Vision, 2006.
25. A. Yang, S. Rao, and Y. Ma. Robust statistical estimation and segmentation of multiple subspaces. In IEEE Workshop on 25 Years of RANSAC (joint with CVPR), 2006.
26. Z. Zhang. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330-1334, 2000.