Constructing PCA baseline algorithms to reevaluate ICA-based face-recognition performance

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 37, Issue 4, 2007, Pages 1015-1021

  Yang, Jian ^a,b   Zhang, David ^a   Yang, Jing Yu ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Face recognition; Feature extraction; Image representation; Independent component analysis (ICA); Principal component analysis (PCA)

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

FACE-RECOGNITION SYSTEMS; IMAGE REPRESENTATION;

FACE RECOGNITION;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FACE; HISTOLOGY; HUMAN; LETTER; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; FACE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34547115694     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2007.891541     Document Type: Article

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