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Volumn 38, Issue 2, 2005, Pages 209-219

Face recognition using direct, weighted linear discriminant analysis and modular subspaces

Author keywords

Dimensionality reduction; Face recognition; Linear discriminant analysis; Pairwise fisher criteria

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; GRAPH THEORY; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

EID: 6444237040     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(04)00273-0     Document Type: Article
Times cited : (64)

References (31)
  • 3
    • 2142813788 scopus 로고    scopus 로고
    • Improved support vector classification using PCA and ICA feature space modification
    • J. Fortuna, D. Capson, Improved support vector classification using PCA and ICA feature space modification, Pattern Recognition 37 (6) (2004) 1117-1129.
    • (2004) Pattern Recognition , vol.37 , Issue.6 , pp. 1117-1129
    • Fortuna, J.1    Capson, D.2
  • 4
    • 0141502062 scopus 로고    scopus 로고
    • Face recognition based on fitting a 3D morphable model
    • V. Blanz, T. Vetter, Face recognition based on fitting a 3D morphable model, IEEE Trans. Pattern Anal. Mach. Intell. 25 (9) (2003) 1063-1074.
    • (2003) IEEE Trans. Pattern Anal. Mach. Intell. , vol.25 , Issue.9 , pp. 1063-1074
    • Blanz, V.1    Vetter, T.2
  • 8
    • 0004709472 scopus 로고    scopus 로고
    • Subspace linear discriminant analysis for face recognition
    • Center for Automation Research, University of Maryland, April
    • W. Zhao, R. Chellappa, P.J. Phillips, Subspace linear discriminant analysis for face recognition, Technical Report CS-TR-4009, Center for Automation Research, University of Maryland, April 1999.
    • (1999) Technical Report , vol.CS-TR-4009
    • Zhao, W.1    Chellappa, R.2    Phillips, P.J.3
  • 13
    • 0036543747 scopus 로고    scopus 로고
    • Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition
    • C. Liu, H. Wechsler, Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition, IEEE Trans. Pattern Anal. Mach. Intell. 11 (4) (2002) 467-476.
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , Issue.4 , pp. 467-476
    • Liu, C.1    Wechsler, H.2
  • 19
    • 0035363672 scopus 로고    scopus 로고
    • From few to many: Illumination cone models for face recognition under variable lighting and pose
    • A.S. Georghiades, P.N. Belhumeur, D.J. Kriegman, From few to many: illumination cone models for face recognition under variable lighting and pose, IEEE Trans. Pattern Anal. Mach. Intell. 23 (6) (2001) 643-660.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.6 , pp. 643-660
    • Georghiades, A.S.1    Belhumeur, P.N.2    Kriegman, D.J.3
  • 21
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high-dimensional data - With application to face recognition
    • H. Yu, J. Yang, A direct LDA algorithm for high-dimensional data - with application to face recognition, Pattern Recognition 34 (10) (2001) 2067-2070.
    • (2001) Pattern Recognition , vol.34 , Issue.10 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 22
    • 0035393361 scopus 로고    scopus 로고
    • Multiclass linear dimension reduction by weighted pairwise Fisher criteria
    • M. Loog, R.P.W. Duin, R. Haeb-Umbach, Multiclass linear dimension reduction by weighted pairwise Fisher criteria, IEEE Trans. Pattern Anal. Mach. Intell. 23 (7) (2001) 762-766.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.7 , pp. 762-766
    • Loog, M.1    Duin, R.P.W.2    Haeb-Umbach, R.3
  • 26
    • 0030214923 scopus 로고    scopus 로고
    • Using discriminant eigenfeatures for image retrieval
    • D.L. Swets, J. (Juyang) Weng, Using discriminant eigenfeatures for image retrieval, IEEE Trans. Pattern Anal. Mach. Intell. 18 (8) (1996) 831-836.
    • (1996) IEEE Trans. Pattern Anal. Mach. Intell. , vol.18 , Issue.8 , pp. 831-836
    • Swets, D.L.1    Weng, J.2
  • 27
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • L.-F. Chen, H.-Y. Mark Liao, M.-T. Ko, J.-C. Lin, G.-J. Yu, A new LDA-based face recognition system which can solve the small sample size problem, Pattern Recognition 10 (33) (2000) 1713-1726.
    • (2000) Pattern Recognition , vol.10 , Issue.33 , pp. 1713-1726
    • Chen, L.-F.1    Mark Liao, H.-Y.2    Ko, M.-T.3    Lin, J.-C.4    Yu, G.-J.5
  • 30
    • 21944431967 scopus 로고    scopus 로고
    • Peter Peer (Peter.Peer@fri.uni-lj.si)
    • The CVL Face Database, www.lrv.fri.uni-lj.si, Peter Peer (Peter.Peer@fri.uni-lj.si).
    • The CVL Face Database
  • 31
    • 1842705510 scopus 로고    scopus 로고
    • cvc.yale.edu, Athos Georghiades (georghiades@yale.edu)
    • The Yale Face Database, cvc.yale.edu, Athos Georghiades (georghiades@yale.edu).
    • The Yale Face Database


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.