Appearance characterization of linear Lambertian objects, generalized photometric stereo, and illumination-invariant face recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 2, 2007, Pages 230-245

  Zhou, Shaohua Kevin ^a   Aggarwal, Gaurav ^b   Chellappa, Rama ^c   Jacobs, David W ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b University of Maryland ^*  (United States)

^c UNIVERSITY OF MARYLAND   (United States)

Author keywords

Bilinear analysis; Face symmetry; Generalized photometric stereo; Illumination invariant face recognition; Integrability; Linear Lambertian object; Multiple illumination sources; Rank constraint

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; IMAGE ANALYSIS; LIGHTING; MATRIX ALGEBRA; PHOTOMETRY;

BILINEAR ANALYSIS; FACE SYMMETRY; GENERALIZED PHOTOMETRIC STEREO; ILLUMINATION-INVARIANT FACE RECOGNITION; LINEAR LAMBERTIAN OBJECT; MULTIPLE ILLUMINATION SOURCES;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; FACE; HISTOLOGY; HUMAN; ILLUMINATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; COMPUTER SIMULATION; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LIGHTING; LINEAR MODELS; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAMMETRY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33947277245     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.25     Document Type: Article

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