A robust descriptor based on Weber's Law

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Chen, Jie ^a,b,c   Shan, Shiguang ^a   Zhao, Guoying ^b   Chen, Xilin ^a   Gao, Wen ^a,c   Pietikäinen, Matti ^b  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF OULU   (Finland)

^c HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER VISION; COPYING; FACE RECOGNITION; FEATURE EXTRACTION; IMAGE PROCESSING; LEARNING SYSTEMS; PATTERN RECOGNITION; REUSABILITY; STATISTICAL TESTS; TESTING;

BRODATZ TEXTURES; DATA SETS; DESCRIPTOR; DESCRIPTORS; FACE DETECTION; FRONTAL FACES; GRADIENT ORIENTATIONS; HUMAN PERCEPTIONS; RELATIVE INTENSITIES; STATE-OF-THE-ART METHODS; TEST SETS; WEBER'S LAW;

PIXELS;

EID: 51949117788     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587644     Document Type: Conference Paper

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