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Volumn 40, Issue 1, 2007, Pages 335-338

Subspace evolution analysis for face representation and recognition

Author keywords

2D PCA; Divide conquer merge; Iterative sampling technique; LDA; PCA

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; PRINCIPAL COMPONENT ANALYSIS; PROBLEM SOLVING;

EID: 33749267122     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.06.013     Document Type: Article
Times cited : (6)

References (4)
  • 1
    • 0026384289 scopus 로고    scopus 로고
    • M. Turk, A. Pentland, Face recognition using eigenfaces, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1991, pp. 586-591.
  • 3
    • 0742268833 scopus 로고    scopus 로고
    • Two-dimensional PCA: a new approach to appearance-based face representation and recognition
    • Yang J., Zhang D., Frangi A.F., and Yang J.Y. Two-dimensional PCA: a new approach to appearance-based face representation and recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26 1 (2004) 131-137
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.1 , pp. 131-137
    • Yang, J.1    Zhang, D.2    Frangi, A.F.3    Yang, J.Y.4
  • 4
    • 27844449908 scopus 로고    scopus 로고
    • 2PCA: two-directional two-dimensional PCA for efficient face representation and recognition
    • 2PCA: two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing 69 1-3 (2005) 224-231
    • (2005) Neurocomputing , vol.69 , Issue.1-3 , pp. 224-231
    • Zhang, D.1    Zhou, Z.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.