W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, Face recognition, ACM Computing Surveys, vol.35, issue.4, pp.399-458, 2003.
DOI : 10.1145/954339.954342

URL : https://hal.archives-ouvertes.fr/hal-01339319

Y. Adini, Y. Moses, and S. Ullman, Face recognition: The problem of compensating for changes in illumination direction Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.19, issue.7, pp.721-732, 1997.

O. M. Parkhi, A. Vedaldi, and A. Zisserman, Deep Face Recognition, Procedings of the British Machine Vision Conference 2015, 2015.
DOI : 10.5244/C.29.41

S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz et al., Adaptive histogram equalization and its variations, Computer vision, graphics, and image processing, pp.355-368, 1987.
DOI : 10.1016/S0734-189X(87)80186-X

S. Shan, W. Gao, B. Cao, and D. Zhao, Illumination normalization for robust face recognition against varying lighting conditions, Analysis and Modeling of Faces and Gestures, pp.157-164, 2003.

T. Zhang, B. Fang, Y. Yuan, Y. Y. Tang, Z. Shang et al., Multiscale facial structure representation for face recognition under varying illumination, Pattern Recognition, vol.42, issue.2, pp.251-258, 2009.
DOI : 10.1016/j.patcog.2008.03.017

W. Chen, M. J. Er, and S. Wu, Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain, IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol.36, issue.2, pp.458-466, 2006.
DOI : 10.1109/TSMCB.2005.857353

E. H. Land and J. J. Mccann, Lightness and Retinex Theory, Journal of the Optical Society of America, vol.61, issue.1, pp.1-11, 1971.
DOI : 10.1364/JOSA.61.000001

URL : http://www.cs.jhu.edu/~misha/ReadingSeminar/Papers/Land71.pdf

T. Riklin-raviv and A. Shashua, The quotient image: Class based recognition and synthesis under varying illumination conditions, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 1999.
DOI : 10.1109/CVPR.1999.784968

]. H. Wang, S. Z. Li, and Y. Wang, Generalized quotient image, Computer Vision and Pattern Recognition, p.498, 2004.

T. Chen, W. Yin, X. S. Zhou, D. Comaniciu, and T. S. Huang, Total variation models for variable lighting face recognition Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.9, pp.1519-1524, 2006.
DOI : 10.1109/tpami.2006.195

X. Xie and K. Lam, An efficient illumination normalization method for face recognition, Pattern Recognition Letters, vol.27, issue.6, pp.609-617, 2006.
DOI : 10.1016/j.patrec.2005.09.026

URL : http://hdl.handle.net/10397/16599

T. Zhang, Y. Y. Tang, B. Fang, Z. Shang, and X. Liu, Face Recognition Under Varying Illumination Using Gradientfaces, IEEE Transactions on Image Processing, vol.18, issue.11, pp.2599-2606, 2009.
DOI : 10.1109/TIP.2009.2028255

B. Wang, W. Li, W. Yang, and Q. Liao, Illumination Normalization Based on Weber's Law With Application to Face Recognition, IEEE Signal Processing Letters, vol.18, issue.8, pp.462-465, 2011.
DOI : 10.1109/LSP.2011.2158998

X. Tan and B. Triggs, Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions, Image Processing IEEE Transactions on, vol.19, issue.6, pp.1635-1650, 2010.
DOI : 10.1007/978-3-540-75690-3_13

URL : https://hal.archives-ouvertes.fr/inria-00548674

R. Basri and D. W. Jacobs, Lambertian reflectance and linear subspaces Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.25, issue.2, pp.218-233, 2003.
DOI : 10.1109/iccv.2001.937651

URL : http://www.neci.nj.nec.com/homepages/dwj/harmonics-tr.ps

V. Blanz and T. Vetter, Face recognition based on fitting a 3d morphable model Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.25, issue.9, pp.1063-1074, 2003.

P. Paysan, R. Knothe, B. Amberg, S. Romdhani, and T. Vetter, A 3d face model for pose and illumination invariant face recognition, " in Advanced video and signal based surveillance, AVSS'09. Sixth IEEE International Conference on, pp.296-301, 2009.

Y. Wang, L. Zhang, Z. Liu, G. Hua, Z. Wen et al., As/GaAs MODFET's, IEEE Transactions on Electron Devices, vol.31, issue.12, pp.1968-1984, 2009.
DOI : 10.1109/T-ED.1984.21844

X. Zhao, G. Evangelopoulos, D. Chu, S. Shah, and I. Kakadiaris, Minimizing Illumination Differences for 3D to 2D Face Recognition Using Lighting Maps, IEEE Transactions on Cybernetics, vol.44, issue.5, pp.725-736, 2014.
DOI : 10.1109/TCYB.2013.2291196

B. T. Phong, Illumination for computer generated pictures, Communications of the ACM, vol.18, issue.6, pp.311-317, 1975.
DOI : 10.1145/360825.360839

URL : http://www.cs.northwestern.edu/~ago820/cs395/Papers/Phong_1975.pdf

P. N. Belhumeur and D. J. Kriegman, What is the set of images of an object under all possible illumination conditions?, International Journal of Computer Vision, vol.28, issue.3, pp.245-260, 1998.
DOI : 10.1023/A:1008005721484

L. Zhang, S. Wang, and D. Samaras, Face Synthesis and Recognition from a Single Image under Arbitrary Unknown Lighting Using a Spherical Harmonic Basis Morphable Model, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.209-216, 2005.
DOI : 10.1109/CVPR.2005.152

S. C. Kee, K. M. Lee, and S. U. Lee, Illumination invariant face recognition using photometric stereo, IEICE TRANSACTIONS on Information and Systems, vol.83, issue.7, pp.1466-1474, 2000.

A. Madooei and M. S. Drew, Detecting specular highlights in dermatological images, 2015 IEEE International Conference on Image Processing (ICIP), pp.4357-4360, 2015.
DOI : 10.1109/ICIP.2015.7351629

Z. L. Stan and K. J. , Handbook of face recognition, 2005.

P. O. Hoyer, Non-negative matrix factorization with sparseness constraints, The Journal of Machine Learning Research, vol.5, pp.1457-1469, 2004.

G. D. Finlayson, M. S. Drew, and C. Lu, Entropy Minimization for Shadow Removal, International Journal of Computer Vision, vol.25, issue.1, pp.35-57, 2009.
DOI : 10.1007/978-3-540-24672-5_46

URL : http://www.cs.sfu.ca/~mark/ftp/Ijcv09/ijcv09.pdf

D. I. Macleod and R. M. Boynton, Chromaticity diagram showing cone excitation by stimuli of equal luminance, Journal of the Optical Society of America, vol.69, issue.8, pp.1183-1186, 1979.
DOI : 10.1364/JOSA.69.001183

I. Omer and M. Werman, Color lines: image specific color representation , " in Computer Vision and Pattern Recognition, Proceedings of the 2004 IEEE Computer Society Conference on, pp.946-953, 2004.

J. T. Barron and J. Malik, Shape, illumination, and reflectance from shading Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.37, issue.8, pp.1670-1687, 2015.
DOI : 10.21236/ada586648

URL : http://nma.berkeley.edu/ark:/28722/bk001482g9v

D. Freedman and P. Diaconis, On the histogram as a density estimator: L 2 theory, Probability theory and related fields, pp.453-476, 1981.

G. D. Finlayson, S. D. Hordley, C. Lu, and M. S. Drew, On the removal of shadows from images Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.1, pp.59-68, 2006.

K. He, J. Sun, and X. Tang, Guided image filtering, Computer Vision?ECCV 2010, pp.1-14, 2010.

T. Sim, S. Baker, and M. Bsat, The cmu pose, illumination, and expression database Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.25, issue.12, pp.1615-1618, 2003.

P. J. Phillips, P. J. Flynn, T. Scruggs, K. W. Bowyer, J. Chang et al., Overview of the Face Recognition Grand Challenge, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.947-954, 2005.
DOI : 10.1109/CVPR.2005.268

T. Ahonen, A. Hadid, and M. Pietikainen, Face description with local binary patterns: Application to face recognition Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.12, pp.2037-2041, 2006.
DOI : 10.1109/tpami.2006.244

T. Ahonen, E. Rahtu, V. Ojansivu, and J. Heikkila, Recognition of blurred faces using Local Phase Quantization, 2008 19th International Conference on Pattern Recognition, pp.1-4, 2008.
DOI : 10.1109/ICPR.2008.4761847

W. Zhang, S. Shan, W. Gao, X. Chen, and H. Zhang, Local gabor binary pattern histogram sequence (lgbphs): A novel nonstatistical model for face representation and recognition, Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, pp.786-791, 2005.

S. Du and R. Ward, Wavelet-based illumination normalization for face recognition, Image Processing, 2005. ICIP 2005. IEEE International Conference on, p.954, 2005.

D. J. Jobson, Z. Rahman, and G. A. , Properties and performance of a center/surround retinex, IEEE Transactions on Image Processing, vol.6, issue.3, pp.451-462, 1997.
DOI : 10.1109/83.557356

D. J. Jobson, Z. Rahman, and G. A. , A multiscale retinex for bridging the gap between color images and the human observation of scenes, IEEE Transactions on Image Processing, vol.6, issue.7, pp.965-976, 1997.
DOI : 10.1109/83.597272