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Volumn , Issue , 2000, Pages 277-284

From few to many: Generative models for recognition under variable pose and illumination

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION;

EID: 84905384694     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AFGR.2000.840647     Document Type: Conference Paper
Times cited : (145)

References (19)
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    • (1997) IEEE Trans. Pattern Anal. Mach. Intelligence , vol.19 , Issue.7 , pp. 711-720
    • Belhumeur, P.N.1    Hespanha, J.P.2    Krieg-Man, D.J.3
  • 6
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    • A method for enfor cing integrabilty in shape from shading algorithms
    • R. T. Frankot and R. Chellapa. A method for enfor cing integrabilty in shape from shading algorithms. IEEE Trans. Pattern Anal. Mach. Intelligence 10(4):439-451 1988.
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    • Frankot, R.T.1    Chellapa, R.2
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    • A low-dimensional representation of hu-man faces for arbitrary lighting conditions
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    • Hayakawa, H.1
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    • D. Jacobs. Linear-tting with missing data: Applica-tions to structure from motion and characterizing in-tensity images. In Proc. IEEE Conf. on Comp. Vision and Patt. Recog. 1997.
    • (1997) Proc. IEEE Conf. on Comp. Vision and Patt. Recog
    • Jacobs, D.1
  • 12
    • 14844284913 scopus 로고
    • Low-dimensional procedure for the characterization of human faces
    • L. Sirovitch and M. Kirby. Low-dimensional procedure for the characterization of human faces. J. Optical Soc. of America A 2:519-524 1987.
    • (1987) J. Optical Soc. of America A , vol.2 , pp. 519-524
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  • 13
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.