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Volumn 3497, Issue II, 2005, Pages 828-835

The application of neural network and wavelet in human face illumination compensation

Author keywords

Face detection; Face recognition; Illumination compensation; Neural network; Wavelet analyze

Indexed keywords

NEURAL NETWORKS; OPTICAL RESOLVING POWER; WAVELET TRANSFORMS;

EID: 24944433994     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11427445_133     Document Type: Conference Paper
Times cited : (8)

References (16)
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    • Combining models and exemplars for face recognition: An illuminating example
    • Sim, T. and Kanade, T.: Combining Models and Exemplars for Face Recognition: An Illuminating Example. CVPR, (2001)
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  • 7
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    • The quotient image: Class based recognition and synthesis under varying illumination conditions
    • Riklin-Raviv T., Shashua, A.: The Quotient Image: Class Based Recognition and Synthesis Under Varying Illumination Conditions. CVPR, (1999)
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    • From few to many: Illumination cone models for face recognition under variable lighting and pose
    • Georghiades, A. S., Belhumeur, P. N., Kriegman, D. J.: From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose. IEEE Trans. PAMI, 23 (2001) 643-660
    • (2001) IEEE Trans. PAMI , vol.23 , pp. 643-660
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  • 10
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  • 11
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    • The quotient image: Class-based re-rendering and recognition with varying illuminations
    • Shashua, A., Riklin-Raviv, T.: The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations. IEEE Trans, on PAMI, 23 (2001) 129-139
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  • 13
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    • Illumination-insensitive face recognition using symmetric shape-from-shading
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.