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Volumn 1, Issue , 2006, Pages 425-428

3D and infrared face reconstruction from RGB data using canonical correlation analysis

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; FACE RECOGNITION; INFRARED RADIATION; MATHEMATICAL MODELS; REGRESSION ANALYSIS; THREE DIMENSIONAL;

EID: 34047223820     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.24     Document Type: Conference Paper
Times cited : (50)

References (17)
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  • 3
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    • 0000927638 scopus 로고    scopus 로고
    • Predicting multivariate responses in multiple linear regression
    • L. Breiman and J. Friedman. Predicting multivariate responses in multiple linear regression. Journal of the Royal Statistical Society, 59(1):3-54, 1997.
    • (1997) Journal of the Royal Statistical Society , vol.59 , Issue.1 , pp. 3-54
    • Breiman, L.1    Friedman, J.2
  • 8
    • 33646145215 scopus 로고    scopus 로고
    • Statistical symmetric shape from shading for 3d structure recovery of faces
    • R. Dovgard and R. Basri. Statistical symmetric shape from shading for 3d structure recovery of faces. In European Conference on Computer Vision, 2004.
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    • Dovgard, R.1    Basri, R.2
  • 10
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling. Relations between two sets of variates. Biometrika, 8:321-377, 1936.
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    • Hotelling, H.1
  • 11
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    • Optimal reduced-rank estimation and filtering
    • Y. Hua, M. Nikpour, and P. Stoica. Optimal reduced-rank estimation and filtering. IEEETSP, 49(3):457-469, 2001.
    • (2001) IEEETSP , vol.49 , Issue.3 , pp. 457-469
    • Hua, Y.1    Nikpour, M.2    Stoica, P.3
  • 12
    • 0038648412 scopus 로고    scopus 로고
    • Appearance models based on kernel canonical correlation analysis
    • T. Melzer, M. Reiter, and H. Bischof. Appearance models based on kernel canonical correlation analysis. Pattern Recognition, 39(9): 1961-1973, 2003.
    • (2003) Pattern Recognition , vol.39 , Issue.9 , pp. 1961-1973
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  • 16
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    • Determining generative models of objects under varying illumination: Shape and albedo from multiple images using SVD and integrability
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.