Extraction of illumination invariant facial features from a single image using nonsubsampled contourlet transform

Pattern Recognition

Volumn 43, Issue 12, 2010, Pages 4177-4189

  Xie, Xiaohua ^a,b   Lai, Jianhuang ^a,b   Zheng, Wei Shi ^c  

^a SUN YAT SEN UNIVERSITY   (China)

^b Guangdong Province Key Laboratory of Information Security   (China)

^c QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Face recognition; Illumination normalization; Multiplicative noise; Nonsubsampled contourlet transform

Indexed keywords

3-D SHAPE; DIRECTIVITY; EXISTING METHOD; FACE IMAGES; FACIAL FEATURE; GEOMETRICAL STRUCTURE; HIGH FREQUENCY; ILLUMINATION EFFECT; ILLUMINATION INVARIANT; ILLUMINATION NORMALIZATION; INTRINSIC FEATURES; LIGHTING CONDITIONS; LOW FREQUENCY; LOW-PASS; MULTIPLICATIVE NOISE; MULTISCALES; NONSUBSAMPLED CONTOURLET TRANSFORMS; RECOGNITION SYSTEMS; REFLECTANCE COMPONENTS; SHIFT INVARIANT; SINGLE IMAGES; SUB-BANDS; VARYING LIGHTING; WEAK EDGE;

ALGEBRA; FEATURE EXTRACTION; LIGHTING; OPTICAL CHARACTER RECOGNITION; PHASE NOISE; REFLECTION; THREE DIMENSIONAL;

FACE RECOGNITION;

EID: 77957020179     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.06.019     Document Type: Article

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