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Volumn 41, Issue 2, 2007, Pages 264-267

Face recognition based on two-dimensional image principal component analysis

Author keywords

Face recognition; Principal component analysis; Two dimensional image principal component analysis

Indexed keywords

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE COMPRESSION; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; TWO DIMENSIONAL;

EID: 34247220348     PISSN: 1008973X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (12)
  • 6
    • 14544297033 scopus 로고    scopus 로고
    • KPCA plus LDA: A complete kernel Fisher discriminant framework for feature extraction and recognition
    • YANG J, FRANGI A F, YANG J Y, et al. KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(2): 230-244.
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.2 , pp. 230-244
    • Yang, J.1    Frangi, A.F.2    Yang, J.Y.3
  • 11
    • 0036721691 scopus 로고    scopus 로고
    • From image vector to matrix: A straightforward image projection technique-IMPCA vs. PCA
    • YANG J, YANG J Y. From image vector to matrix: a straightforward image projection technique-IMPCA vs. PCA[J]. Pattern Recognition, 2002, 35(9): 1997-1999.
    • (2002) Pattern Recognition , vol.35 , Issue.9 , pp. 1997-1999
    • Yang, J.1    Yang, J.Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.