Toward a practical face recognition system: Robust alignment and illumination by sparse representation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 34, Issue 2, 2012, Pages 372-386

  Wagner, Andrew ^a   Wright, John ^b   Ganesh, Arvind ^a   Zhou, Zihan ^a   Mobahi, Hossein ^a   Ma, Yi ^a,c  

^a University of Illinois at Urbana Champaign   (United States)

^b Columbia University ^*  (United States)

^c MICROSOFT RESEARCH ASIA   (China)

Author keywords

error correction; face alignment; Face recognition; illumination variation; occlusion and corruption; sparse representation; validation and outlier rejection

Indexed keywords

FACE ALIGNMENT; ILLUMINATION VARIATION; OCCLUSION AND CORRUPTION; OUTLIER REJECTION; SPARSE REPRESENTATION;

ALGORITHMS; ALIGNMENT; COMPUTER GRAPHICS; ERROR CORRECTION;

FACE RECOGNITION;

ALGORITHM; ARTICLE; BIOMETRY; FACE; FACTUAL DATABASE; HISTOLOGY; HUMAN; ILLUMINATION; IMAGE PROCESSING; METHODOLOGY; REPRODUCIBILITY;

ALGORITHMS; BIOMETRIC IDENTIFICATION; DATABASES, FACTUAL; FACE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIGHTING; REPRODUCIBILITY OF RESULTS;

EID: 84055212058     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.112     Document Type: Article

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