RASL: Robust Alignment by Sparse and Low-rank decomposition for linearly correlated images

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

Volumn , Issue , 2010, Pages 763-770

  Peng, Yigang ^a   Ganesh, Arvind ^b   Wright, John ^c   Xu, Wenli ^a   Ma, Yi ^b,c  

^a TSINGHUA UNIVERSITY   (China)

^b University of Illinois at Urbana Champaign   (United States)

^c MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALIGNED IMAGES; ALIGNMENT ALGORITHMS; CONVEX OPTIMIZATION TECHNIQUES; CONVEX PROGRAMS; EXISTING METHOD; FAST CONVERGENCE; IMAGE DOMAIN; LOW-RANK DECOMPOSITION; LOW-RANK MATRICES; MATRIX; OPTIMAL SETS; OPTIMIZATION PROBLEMS; SPARSE MATRICES; TWO-COMPONENT;

ALIGNMENT; COMPUTER VISION; LINEAR TRANSFORMATIONS; OPTIMIZATION;

CONVEX OPTIMIZATION;

EID: 77956007151     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540138     Document Type: Conference Paper

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