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Volumn , Issue , 2000, Pages 54-61

Comparative performance of different skin chrominance models and chrominance spaces for the automatic detection of human faces in color images

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FACE RECOGNITION; FEATURE EXTRACTION; IMAGE SEGMENTATION;

EID: 84905393392     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AFGR.2000.840612     Document Type: Conference Paper
Times cited : (316)

References (23)
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    • S. J. McKenna S. Gong and Y. Raja. Modeling facial color and identity with gaussian mixtures. Pattern Recognition 31(12):1883-1892 1998.
    • (1998) Pattern Recognition , vol.31 , Issue.12 , pp. 1883-1892
    • McKenna, S.J.1    Gong, S.2    Raja, Y.3
  • 14
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    • Mixture densities maximum likelihood and the em algorithm
    • R. Redner and H. Walker. Mixture densities maximum likelihood and the em algorithm. SIAM Review 26:195-239 1994.
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    • Redner, R.1    Walker, H.2
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    • (1996) Proc. CVPR , pp. 203-208
    • Rowley, H.1    Baluja, S.2    Kanade, T.3
  • 16
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    • Automatic image annotation using adaptive color classification
    • E. Saber A. M. Tekalp R. Eschbach and K. Knox. Automatic image annotation using adaptive color classification. Graph. Models and Image Proc. 58(2):115-126 1996.
    • (1996) Graph. Models and Image Proc , vol.58 , Issue.2 , pp. 115-126
    • Saber, E.1    Tekalp, A.M.2    Eschbach, R.3    Knox, K.4
  • 23
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    • Skin-color modeling and adaptation
    • J. Yang W. Lu and A. Waibel. Skin-color modeling and adaptation. In Proc. ACCV 1998. pp. 687-694.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.