Beyond simple features: A large-scale feature search approach to unconstrained face recognition

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Volumn , Issue , 2011, Pages 8-15

  Cox, David ^a   Pinto, Nicolas ^b  

^a HARVARD UNIVERSITY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLENDING TECHNIQUES; COMPUTER VISION ALGORITHMS; FEATURE REPRESENTATION; FEATURE SETS; LOW-LEVEL FEATURES; NEUROMORPHIC; PIXEL VALUES; STANDARD MACHINES; STATE-OF-THE-ART APPROACH; STATE-OF-THE-ART PERFORMANCE; TRAINING DATA;

ALGORITHMS; BLENDING; COMPUTER VISION; FACE RECOGNITION; GESTURE RECOGNITION; LEARNING SYSTEMS; MATHEMATICAL OPERATORS;

FEATURE EXTRACTION;

EID: 79958697382     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2011.5771385     Document Type: Conference Paper

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