Serially-connected dual 2d pca for efficient face representation and face recognition

International Journal of Innovative Computing, Information and Control

Volumn 5, Issue 11, 2009, Pages 4367-4372

  Chen, Yen Wei ^a,b   Xu, Rui ^b   Ushikome, Akira ^b  

^a CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY   (China)

^b RITSUMEIKAN UNIVERSITY   (Japan)

Author keywords

2 dimensional principal component analysis (2DPCA); Efficient representation; Face recognition; Generalized 2 dimensional principal component analysis (G2DPCA); Serially connected 2 dimensional principal component analysis (SCD 2DPCA)

Indexed keywords

2-DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS (2DPCA); 2D IMAGES; COLUMN DIMENSIONS; COMPUTATION COSTS; EFFICIENT REPRESENTATION; FACE REPRESENTATIONS; FACIAL IMAGES; FEATURE VECTORS; GENERALIZED 2-DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS (G2DPCA); HIGH-DIMENSIONAL; NOVEL METHODS; PROJECTION SCHEMES; SPATIAL INFORMATIONS; SUBSPACE LEARNING; UNFOLDING PROCESS; VECTOR SUBSPACE;

FACE RECOGNITION; VECTORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 71149084064     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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