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Volumn 16, Issue 2, 2002, Pages 382-385

Fusion of global and local features for face verification

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; FUZZY INFERENCE; FUZZY SYSTEMS; ADAPTIVE CONTROL SYSTEMS; FEATURE EXTRACTION; FUZZY CONTROL; VISUAL COMMUNICATION;

EID: 4644362516     PISSN: 10514651     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICPR.2002.1048319     Document Type: Article
Times cited : (52)

References (13)
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    • Belhumeur, P.N.1
  • 3
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    • Distortion invariant object recognition in the dynamic link architecture
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  • 4
    • 0000209334 scopus 로고    scopus 로고
    • Local feature analysis: A general statistical theory for object representation
    • Penev, P. S., Atick, J., Local Feature Analysis: a General Statistical Theory for Object Representation, Newark: Computation in Neural Systems, (7):477-500, 1996.
    • (1996) Newark: Computation in Neural Systems , vol.7 , pp. 477-500
    • Penev, P.S.1    Atick, J.2
  • 6
    • 0033734303 scopus 로고    scopus 로고
    • On internal representation in face recognition systems
    • Grudin, M. A., On Internal Representation in Face Recognition Systems, Pattern Recognition, 33:1161-77, 2000.
    • (2000) Pattern Recognition , vol.33 , pp. 1161-1177
    • Grudin, M.A.1
  • 7
    • 0033906760 scopus 로고    scopus 로고
    • Face recognition by statistical analysis of feature detectors
    • Kalocsai, P., Malsburg, C., Horn, J., Face Recognition by Statistical Analysis of Feature Detectors, Image and Vision Computing, 18:273-8, 2000.
    • (2000) Image and Vision Computing , vol.18 , pp. 273-278
    • Kalocsai, P.1    Malsburg, C.2    Horn, J.3
  • 8
    • 0027928121 scopus 로고
    • View-based and modular eigenspaces for face recognition
    • Pentland, A. and et al., View-Based and Modular Eigenspaces for Face Recognition, CVPR, 1994.
    • (1994) CVPR
    • Pentland, A.1
  • 10
    • 0034850512 scopus 로고    scopus 로고
    • Face recognition with support vector machines: Global versus component-based approach
    • Heisele, B., Ho, P., Poggio, T., Face Recognition with Support Vector Machines: Global versus Component-based Approach. ICCV, 2:688-94, 2001.
    • (2001) ICCV , vol.2 , pp. 688-694
    • Heisele, B.1    Ho, P.2    Poggio, T.3
  • 11
    • 0033752603 scopus 로고    scopus 로고
    • Fuzzy neural nets with non-symmetric membership functions and applications in signal processing and image analysis
    • Shen, J. and et al., Fuzzy Neural Nets with Non-symmetric Membership Functions and Applications in Signal Processing and Image Analysis, Signal Processing, Vol.80, pp.965-83, 2000.
    • (2000) Signal Processing , vol.80 , pp. 965-983
    • Shen, J.1
  • 12
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C. J. C., A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167, 1998.
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    • Burges, C.J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.