An approach for directly extracting features from matrix data and its application in face recognition

Neurocomputing

Volumn 71, Issue 10-12, 2008, Pages 1857-1865

  Xu, Yong ^a   Zhang, David ^b   Yang, Jian ^c   Yang, Jing Yu ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Face recognition; Feature extraction; Feature fusion; Principal component analysis

Indexed keywords

FACE RECOGNITION; IMAGE FUSION; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

TWO-DIMENSIONAL PRINCIPLE COMPONENT ANALYSIS;

FEATURE EXTRACTION;

ACCURACY; ARTICLE; CORRELATION ANALYSIS; DATA BASE; FACE; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; THEORETICAL MODEL;

EID: 44649124427     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2007.09.021     Document Type: Article

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