Context-dependent kernel design for object matching and recognition

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

Volumn , Issue , 2008, Pages

  Sahbi, Hichem ^a   Audibert, Jean Yves ^b   Rabarisoa, Jaonary ^b   Keriven, Renaud ^b  

^a INSTITUT TELECOM   (France)

^b UNIVERSITÉ PARIS EST   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; COMPUTER VISION; FEATURE EXTRACTION; IMAGE PROCESSING; MIXING; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

CONTEXT-DEPENDENT; CONTEXT-FREE; ENERGY FUNCTIONS; FEATURE MATCHING; INTEREST POINTS; KERNEL DESIGN; KERNEL METHODS; LOCAL FEATURES; OBJECT GEOMETRIES; OBJECT MATCHING; PATTERN RECOGNITION PROBLEMS; SUPPORT VECTOR NETWORKS;

OBJECT RECOGNITION;

EID: 51949103356     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587607     Document Type: Conference Paper

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