Enhanced local texture feature sets for face recognition under difficult lighting conditions

IEEE Transactions on Image Processing

Volumn 19, Issue 6, 2010, Pages 1635-1650

  Tan, Xiaoyang ^a   Triggs, Bill ^b  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b UNIV GRENOBLE ALPES   (France)

Author keywords

Face recognition; Illumination invariance; Image preprocessing; Kernel principal components analysis; Local binary patterns; Visual features

Indexed keywords

ILLUMINATION INVARIANCE; IMAGE PREPROCESSING; KERNEL PRINCIPAL COMPONENT; LOCAL BINARY PATTERNS; VISUAL FEATURE; VISUAL FEATURES;

CONTENT BASED RETRIEVAL; FEATURE EXTRACTION; LIGHTING; PRINCIPAL COMPONENT ANALYSIS; TEXTURES;

FACE RECOGNITION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; FACE; HISTOLOGY; HUMAN; ILLUMINATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

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

EID: 77952634397     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2010.2042645     Document Type: Article

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