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Volumn 57, Issue 1, 2004, Pages 49-66

Segmented linear subspaces for illumination-robust face recognition

Author keywords

Face recognition; Illumination; Illumination modelling; Object recognition; Segmented linear subspace

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; FACE RECOGNITION; LIGHTING; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL TESTS;

EID: 1842558371     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:VISI.0000013090.39095.d5     Document Type: Article
Times cited : (12)

References (18)
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  • 5
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  • 10
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    • Hallinan, P.1
  • 14
    • 0000914482 scopus 로고    scopus 로고
    • On the relationship between radiance and irradiance: Determining the illumination from images of a convex Lambertian object
    • Ramamoorthi, R. and Hanrahan, P. 2001. On the relationship between radiance and irradiance: Determining the illumination from images of a convex Lambertian object. J. Opt. Soc. Am. A, 18(10):2448-2459.
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    • Ramamoorthi, R.1    Hanrahan, P.2
  • 15
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    • Analytic PCA construction for theoretical analysis of lighting variability in images of a Lambertian object
    • Ramamoorthi, R. 2002. Analytic PCA construction for theoretical analysis of lighting variability in images of a Lambertian object. IEEE Trans. Pattern Analysis and Machine Intelligence, 24(10):1322-1333.
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    • On photometric issues in 3D visual recognition from a single 2D image
    • Shashua, A. 1997. On photometric issues in 3D visual recognition from a single 2D image. Int'l J. Computer Vision, 21(1-2):99-122.
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  • 17
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    • The CMU pose, illumination, and expression (PIE) database of human faces
    • The Robotics Institute, Carnegie Mellon University
    • Sim, T., Baker, S., and Bsat, M. 2001. The CMU Pose, illumination, and expression (PIE) database of human faces. Tech Report CMU-RI-TR-01-02, The Robotics Institute, Carnegie Mellon University.
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  • 18
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    • Theoretical analysis of illumination in PCA-based vision systems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.