Two-view multibody structure-and-motion with outliers

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn II, Issue , 2005, Pages 643-650

  Schindler, Konrad ^a   Suter, David ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; DATA REDUCTION; MATHEMATICAL MODELS; MONTE CARLO METHODS; MOTION ESTIMATION; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

MONTE-CARLO SAMPLING; MOTION MODELS; MULTI-BODY STRUCTURE-AND-MOTION (MSAM);

PATTERN RECOGNITION;

EID: 24644459932     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.355     Document Type: Conference Paper

References (22)

1. H. Akaike. Information theory and an extension of the maximum likelihood principle. In B.N. Petrov and F. Csaki, editors, Proc. 2nd Int'l Symposium of Information Theory, pages 267-281, 1973.
2. G. L. Bretthorst. An introduction to model selection using probability theory as logic. In G. R. Heidbreder, editor, Maximum Entropy and Bayesian Methods, pages 1-42. Kluwer Academic Publishers, 1996.
3. D. Comaniciu and P. Meer. Mean shift: A robust approach towards feature space analysis. IEEE TPAMI, 24(5):603-619, 2002.
4. O. Faugeras, Q.-T. Luong, and T. Papadopoulo. The geometry of multiple images. MIT Press, 2001.
5. D. A. Forsyth and J. Ponce. Computer Vision - A Modern Approach. Prentice Hall Inc., 2003.
6. F. Glover and M. Laguna. Tabu search. In C. Reeves, editor, Modern Heuristic Techniques for Combinatorial Problems. Blackwell Publishers, 1993.
7. R. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.
8. K. Kanatani. Statistical Optimation for Geometric Computation : Theorie and Practice. North Holland Elsevier, 1996.
9. K. Kanatani. Geometric information criterion for model selection. IJCV, 26(3): 171-189, 1998.
10. A. Leonardis, A. Gupta, and R. Bajcsy. Segmentation of range images as the search for geometric parametric models. IJCV, 14(1):253-277, 1995.
11. J. Rissanen. Universal coding, information, prediction and estimation. IEEE Trans. Information Theory, 30:629-636, 1984.
12. P. J. Rousseeuw and A. M. Leroy. Robust Regression and Outlier Detection. John Wiley and Sons, 1987.
13. K. Schindler. Simultaneous, robust fitting of multiple 3D motion models. Technical report MECSE-12-2004, Monash University, 2004.
14. G. Schwartz. Estimating the dimension of a model. Annals of Statistics, 6:497-511, 1978.
15. M. Stricker and A. Leonardis. ExSel++: A general framework to extract parametric models. In Proc. Computer Analysis of Images and Patterns, pages 90-97, 1995.
16. P. H. S. Torr. Geometric motion segmentation and model selection. Phil. Trans. Royal Society A, 356(1740):1321-1340, 1998.
17. P. H. S. Torr. Bayesian model estimation and selection for epipolar geometry and generic manifold fitting. IJCV, 50(1):35-61, 2002.
18. R. Vidal and Yi Ma. A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation. In Proc. 8th ECCV, pages 1-15, 2004.
19. R. Vidal, S. Soatto, Yi Ma, and S. Sastry. Segmentation of dynamic scenes from the multibody fundamental matrix. In Proc. ECCV Workshop on Visual Modeling of Dynamic Scenes, 2002.
20. H. Wang and D. Suter. MDPE: A very robust estimator for model fitting and range image segmentation. IJCV, 59(2):139-166, 2004.
21. H. Wang and D. Suter. Robust fitting by adaptive-scale residual consensus. In Proc. 8th ECCV, pages 107-118, 2004.
22. E. Wolf and A. Shashua. Two-body segmentation from two perspective views. In Proc. IEEE CVPR, pages 263-270, 2001.