Face identification using large feature sets

IEEE Transactions on Image Processing

Volumn 21, Issue 4, 2012, Pages 2245-2255

  Schwartz, William Robson ^a   Guo, Huimin ^b   Choi, Jonghyun ^c   Davis, Larry S ^b  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b University of Maryland ^*  (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Face identification; feature combination; feature selection; partial least squares (PLS)

Indexed keywords

CONTROLLED ENVIRONMENT; DATA SETS; DESCRIPTORS; FACE IDENTIFICATION; FACE RECOGNITION GRAND CHALLENGES; FACIAL RECOGNITION; FEATURE COMBINATION; FEATURE DESCRIPTORS; FEATURE SETS; FEATURE WEIGHTING; IDENTIFICATION METHOD; MULTI-CHANNEL; PARTIAL LEAST SQUARE (PLS); TRAINING DATA; TREE-BASED; UNSOLVED PROBLEMS;

FEATURE EXTRACTION; IMAGE PROCESSING; MATHEMATICAL MODELS;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84859067740     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2176951     Document Type: Article

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