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Volumn 24, Issue 3, 2006, Pages 291-299

Face recognition using optimal linear components of range images

Author keywords

Face recognition; Grassmann manifold; Nearest neighbor classifier; Optimal component analysis; Range imaging

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGING TECHNIQUES; LEARNING SYSTEMS; MATHEMATICAL MODELS; RANDOM PROCESSES;

EID: 33644908853     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2005.07.023     Document Type: Article
Times cited : (26)

References (22)
  • 4
    • 0038391450 scopus 로고    scopus 로고
    • Statistical hypothesis pruning for face recognition from IR images
    • A. Srivastava, and X. Liu Statistical hypothesis pruning for face recognition from IR images Journal of Image and Vision Computing 21 7 2003 651 660
    • (2003) Journal of Image and Vision Computing , vol.21 , Issue.7 , pp. 651-660
    • Srivastava, A.1    Liu, X.2
  • 6
    • 0032970419 scopus 로고    scopus 로고
    • Three-dimensional shape and two-dimensional surface reflectance contributions to face recognition: An application of three-dimensional morphing
    • A.J. O'Toole, T. Vetter, and V. Blanz Three-dimensional shape and two-dimensional surface reflectance contributions to face recognition: an application of three-dimensional morphing Vision Research 39 1999 3145 3155
    • (1999) Vision Research , vol.39 , pp. 3145-3155
    • O'Toole, A.J.1    Vetter, T.2    Blanz, V.3
  • 21
    • 0032629347 scopus 로고    scopus 로고
    • Fast and robust fixed-point algorithm for independent component analysis
    • A. Hyvarinen Fast and robust fixed-point algorithm for independent component analysis IEEE Transactions on Neural Networks 10 1999 626 634
    • (1999) IEEE Transactions on Neural Networks , vol.10 , pp. 626-634
    • Hyvarinen, A.1
  • 22
    • 0002229304 scopus 로고    scopus 로고
    • Pairwise classification and support vector machines
    • B. Scholkopf C.J.C. Burges A.J.S. The MIT Press
    • U.H.G. Kreßel Pairwise classification and support vector machines B. Scholkopf C.J.C. Burges A.J.S. Advances in Kernel Methods: Support Vector Learning 2002 The MIT Press pp. 255-268
    • (2002) Advances in Kernel Methods: Support Vector Learning
    • Kreßel, U.H.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.