Covariance discriminative learning: A natural and efficient approach to image set classification

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

Volumn , Issue , 2012, Pages 2496-2503

  Wang, Ruiping ^a,b   Guo, Huimin ^a   Davis, Larry S ^a   Dai, Qionghai ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRICES; DISCRIMINATIVE LEARNING; EUCLIDEAN SPACES; IMAGE SETS; KERNEL FUNCTION; LEARNING METHODS; LINEAR DISCRIMINANT ANALYSIS; LINEAR SUBSPACE; LOG-EUCLIDEAN; NONSINGULAR; OBJECT CATEGORIZATION; PARTIAL LEAST SQUARE (PLS); RIEMANNIAN MANIFOLD; SECOND ORDER STATISTICS; SET MODELING; SPECIFIC PROBLEMS; SYMMETRIC POSITIVE DEFINITE; UNIFIED FRAMEWORK;

COVARIANCE MATRIX; FACE RECOGNITION; GEOMETRY; LEARNING ALGORITHMS;

COMPUTER VISION;

EID: 84866657142     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247965     Document Type: Conference Paper

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