Face recognition algorithms surpass humans matching faces over changes in illumination

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 9, 2007, Pages 1642-1646

  O'Toole, Alice J ^a   Phillips, P Jonathon ^b   Jiang, Fang ^a   Ayyad, Janet ^a   Pénard, Nils ^a   Abdi, Hervé ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

^b NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

Face and gesture recognition; Human information processing; Performance evaluation of algorithms and systems

Indexed keywords

ALGORITHMS; FACE RECOGNITION; GESTURE RECOGNITION; IMAGE MATCHING;

FACE RECOGNITION SYSTEMS; HUMAN INFORMATION PROCESSING; PERFORMANCE EVALUATION;

IMAGING SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FACE; HISTOLOGY; HUMAN; ILLUMINATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 34548136156     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.1107     Document Type: Article

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