Emulating biological strategies for uncontrolled face recognition

Pattern Recognition

Volumn 43, Issue 6, 2010, Pages 2210-2223

  Deng, Weihong ^a   Hu, Jiani ^a   Guo, Jun ^a   Cai, Weidong ^b   Feng, Dagan ^b  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Biologically inspired computer vision; Dimensionality reduction; Face recognition; Information fusion; Linear discriminant analysis

Indexed keywords

BIOLOGICALLY-INSPIRED COMPUTER VISION; COLOR FEATURES; CRIME PREVENTION; DIMENSIONALITY REDUCTION; DISCRIMINANT MODELS; ENHANCED FISHER LINEAR DISCRIMINANT MODEL; EVALUATION PROTOCOL; FACE RECOGNITION GRAND CHALLENGES; FACE RECOGNITION TECHNOLOGIES; FACE REPRESENTATIONS; FACE VERIFICATION; FALSE ACCEPTANCE RATE; FUSION METHODS; HUMAN FACE RECOGNITION; HUMAN VISUAL SYSTEM; IMAGE REPRESENTATIONS; INTEGRATED SYSTEMS; LINEAR DISCRIMINANT ANALYSIS; LOCAL BINARY PATTERNS; NATIONAL SECURITY; SIMPLE SYSTEM; STATE-OF-THE-ART PERFORMANCE;

COMPUTER CRIME; COMPUTER VISION; DISCRIMINANT ANALYSIS; IMAGE RETRIEVAL; INFORMATION FUSION; INTEGRATED OPTICS;

FACE RECOGNITION;

EID: 77049100705     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.12.026     Document Type: Article

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