Illumination robust face recognition using spatial adaptive shadow compensation based on face intensity prior
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[1] Terence Sim,et al. The CMU Pose, Illumination, and Expression Database , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Ravi Ramamoorthi ravir. Analytic PCA construction for theoretical analysis of lighting variability , including attached shadows , in a single image of a convex Lambertian object , 2001 .
[3] David Zhang,et al. A Fourier-LDA approach for image recognition , 2005, Pattern Recognit..
[4] L. Tang,et al. Improved Retinex Image Enhancement Algorithm , 2011 .
[5] B. V. K. Vijaya Kumar,et al. Eigenphases vs eigenfaces , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[6] Javier Ruiz-del-Solar,et al. Illumination compensation and normalization in eigenspace-based face recognition: A comparative study of different pre-processing approaches , 2008, Pattern Recognit. Lett..
[7] B. V. K. Vijaya Kumar,et al. Illumination Tolerant Face Recognition Using Phase-Only Support Vector Machines in the Frequency Domain , 2005, ICAPR.
[8] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[9] Haitao Wang,et al. Face recognition under varying lighting conditions using self quotient image , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..
[10] Wen Gao,et al. Illumination normalization for robust face recognition against varying lighting conditions , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).
[11] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Chen-Ta Hsieh,et al. Adaptive Shadow Compensation for Face Recognition Under Illumination Variations , 2016 .
[13] David J. Kriegman,et al. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Meng Joo Er,et al. Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[15] Yuan Yan Tang,et al. Face Recognition Under Varying Illumination Using Gradientfaces , 2009, IEEE Transactions on Image Processing.
[16] Shimon Ullman,et al. Face Recognition: The Problem of Compensating for Changes in Illumination Direction , 1994, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Amandeep Kaur,et al. Illumination Invariant Face Recognition , 2013 .
[18] Ja-Chen Lin,et al. A new LDA-based face recognition system which can solve the small sample size problem , 1998, Pattern Recognit..
[19] Amnon Shashua,et al. The Quotient Image: Class-Based Re-Rendering and Recognition with Varying Illuminations , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[20] Xuan Zou,et al. Illumination Invariant Face Recognition: A Survey , 2007, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems.
[21] Hakan Cevikalp,et al. Discriminative common vectors for face recognition , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] B. V. K. Vijaya Kumar,et al. Illumination Normalization Using Logarithm Transforms for Face Authentication , 2003, AVBPA.
[23] Gu-Min Jeong,et al. Shadow Compensation Using Fourier Analysis With Application to Face Recognition , 2011, IEEE Signal Processing Letters.
[24] John D. Austin,et al. Adaptive histogram equalization and its variations , 1987 .
[25] A. Abbas,et al. Expression and illumination invariant preprocessing technique for Face Recognition , 2008, 2008 International Conference on Computer Engineering & Systems.