Subspace segmentation with outliers: A Grassmannian approach to the maximum consensus subspace

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Da Silva, Nuno Pinho ^a   Costeiraz, João Paulo ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; OBJECT RECOGNITION; OPTIMIZATION; PATTERN RECOGNITION;

DATA MATRICES; GLOBAL OPTIMALITY; GRASSMANN MANIFOLDS; GRASSMANNIAN; LINEAR SUBSPACES; LOW DIMENSIONAL; NON-CONVEXITY; NONCONVEX PROGRAM; OPTIMIZ ATION PROBLEMS; OPTIMIZATION ALGORITHMS; OUTLIER REJECTION; SUB-SPACE SEGMENTATION; SYNTHETIC AND REAL DATA;

CONSTRAINED OPTIMIZATION;

EID: 51949112314     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587466     Document Type: Conference Paper

References (11)

1. nd edition, 1999.
2. J. P. Costeira and T. Kanade. A multibody factorization method for independently moving objects. IJCV, 29(3):159-179, 1998.
3. A. Edelman, T. A. Arias, and S. T. Smith. The geometry of algorithms with orthogonality constraints. SIAM J. MAtrix. Anal. Appl., 20(2):303-353, 1998.
4. Z. Fan, J. Zhou, and Y. Wu. Multibody grouping by inference of multiple subspaces from high-dimensional data using oriented-frames. in IEEE Trans. on PAMI, 28(1):91-105, 2006.
5. O. L. Mangasarian. Minimum-support solutions of polyhedral concave programs, 1997. Mathematical Programming Technical Report 97-05.
6. M. Mesbahi and G. P. Papavassilopoulos. On the rank minimization problem over a positive semidefinite linear matrix inequality. IEEE Trans. on Aut. Control, 42(2):239-243, 1997.
7. Y. Sugaya and K. Kanatani. Outliers removal for motion tracking by subspace separation. IEICE Trans. on Inf. and Syst., E86D(6):1321-1340, 2003.
8. P. Torr. Geometric motion segmentation and model selection. Phil. Trans. Royal Society of London, 356(1740):1321-1340, 1998.
9. R. Tron and R. Vidal. A benckmark for the comparison of 3-d motion segmentation algorithms. in Proc. CVPR'07.
10. R. Vidal, Y. Ma, and S. Sastry. Generalized principal component analysis (gpca). IEEE Trans. on PAMI, 27(12):1945-1959, 2005.
11. J. Yan and M. Pollefeys. A general framework for motion segmentation: Independent, articulated, non-rigid, degenerate and non-degenerate. in Proc. ECCV'06.