ICA color space for pattern recognition

IEEE Transactions on Neural Networks

Volumn 20, Issue 2, 2009, Pages 248-257

  Liu, Chengjun ^a   Yang, Jian ^a,b  

^a University Heights   (United States)

^b NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Biometric experimentation environment (BEE); Enhanced Fisher model (EFM); Face recognition grand challenge (FRGC); Independent component analysis (ICA) color space; Pattern recognition; Principal component analysis (PCA); RGB color space

Indexed keywords

BIOMETRICS; BLIND SOURCE SEPARATION; COLOR; COLOR IMAGE PROCESSING; FACE RECOGNITION; HEMODYNAMICS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; PRINCIPAL COMPONENT ANALYSIS;

ENHANCED FISHER MODEL (EFM); FACE RECOGNITION GRAND CHALLENGE (FRGC); INDEPENDENT COMPONENT ANALYSIS (ICA) COLOR SPACE; PRINCIPAL COMPONENT ANALYSIS (PCA); RGB COLOR SPACE;

INDEPENDENT COMPONENT ANALYSIS;

EID: 60849115543     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2008.2005495     Document Type: Article

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