J. Durou, M. Falcone, and M. Sagona, Numerical methods for shape-from-shading: A new survey with benchmarks, Computer Vision and Image Understanding, vol.109, issue.1, pp.22-43, 2008.
DOI : 10.1016/j.cviu.2007.09.003

J. Ackermann and M. Goesele, A Survey of Photometric Stereo Techniques, Foundations and Trends?? in Computer Graphics and Vision, vol.9, issue.3-4, pp.149-254, 2015.
DOI : 10.1561/0600000065

E. Prados, O. Faugeras, and F. Camilli, Shape from Shading: A Well-Posed Problem?, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2004.
DOI : 10.1109/CVPR.2005.319
URL : https://hal.archives-ouvertes.fr/inria-00394230

R. J. Woodham, Photometric Method For Determining Surface Orientation From Multiple Images, Optical Engineering, vol.19, issue.1, pp.139-144, 1980.
DOI : 10.1117/12.7972479

Y. Sato and K. Ikeuchi, Reflectance analysis under solar illumination, Proceedings of the Workshop on Physics-Based Modeling in Computer Vision, pp.180-187, 1995.
DOI : 10.1109/PBMCV.1995.514684

J. Jung, J. Lee, and I. S. Kweon, One-day outdoor photometric stereo via skylight estimation, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4521-4529
DOI : 10.1109/CVPR.2015.7299082
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1029.1017

C. Hernández, G. Vogiatzis, and R. Cipolla, Overcoming Shadows in 3-Source Photometric Stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.2, pp.419-426, 2011.
DOI : 10.1109/TPAMI.2010.181

R. Onn and A. M. Bruckstein, Integrability disambiguates surface recovery in two-image photometric stereo, International Journal of Computer Vision, vol.17, issue.1, pp.105-113, 1990.
DOI : 10.1007/BF00056773

R. Mecca and J. Durou, Unambiguous Photometric Stereo Using Two Images, Proceedings of the 16 th International Conference on Image Analysis and Processing, pp.286-295, 2011.
DOI : 10.1007/978-3-642-24085-0_30

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1222-1239, 2001.
DOI : 10.1109/34.969114
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806

J. Durou, J. Aujol, and F. Courteille, Integrating the Normal Field of a Surface in the Presence of Discontinuities, Proceedings of the 7 th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, pp.261-273, 2009.
DOI : 10.1109/TPAMI.2007.70820

R. T. Frankot and R. Chellappa, A method for enforcing integrability in shape from shading algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.10, issue.4, pp.439-451, 1988.
DOI : 10.1109/34.3909

R. Mecca and M. Falcone, Uniqueness and Approximation of a Photometric Shape-from-Shading Model, SIAM Journal on Imaging Sciences, vol.6, issue.1, pp.616-659, 2013.
DOI : 10.1137/110857258

J. Yang, N. Ohnishi, and N. Sugie, Two image photometric stereo method, in: Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods of Proceedings of the International Society for Optical Engineering, pp.452-463, 1992.

R. J. Woodham, Photometric Stereo: A Reflectance Map Technique for Determining Surface Orientation from a Single View, Proceedings of the 22 nd SPIE Annual Technical Symposium of Proceedings of the International Society for Optical Engineering, pp.136-143, 1978.

R. Kozera, ON SHAPE RECOVERY FROM TWO SHADING PATTERNS, International Journal of Pattern Recognition and Artificial Intelligence, vol.06, issue.04, pp.673-698, 1993.
DOI : 10.1142/S0218001492000357

O. Ikeda, A robust shape-from-shading algorithm using two images and control of boundary conditions, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), pp.405-408, 2003.
DOI : 10.1109/ICIP.2003.1246984

A. Abrams, C. Hawley, R. Pless, and H. Stereo, Heliometric Stereo: Shape from Sun Position, Proceedings of the 12 th European Conference on Computer Vision (volume II), pp.357-370, 2012.
DOI : 10.1007/978-3-642-33709-3_26

J. Ackermann, F. Langguth, S. Fuhrmann, and M. Goesele, Photometric stereo for outdoor webcams, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.262-269
DOI : 10.1109/CVPR.2012.6247684
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.1132

S. J. Koppal and S. G. Narasimhan, Appearance Derivatives for Isonormal Clustering of Scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.8, pp.1375-1385, 2009.
DOI : 10.1109/TPAMI.2008.148

S. Barsky and M. Petrou, The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.10, pp.1239-1252, 2003.
DOI : 10.1109/TPAMI.2003.1233898

J. Sun, M. Smith, . Smith, J. Midha, and . Bamber, Object surface recovery using a multi-light photometric stereo technique for non-Lambertian surfaces subject to shadows and specularities, Image and Vision Computing, vol.25, issue.7, pp.1050-1057, 2007.
DOI : 10.1016/j.imavis.2006.04.025

F. Verbiest and L. Van-gool, Photometric stereo with coherent outlier handling and confidence estimation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.31, 2008.
DOI : 10.1109/CVPR.2008.4587712

L. Wu, A. Ganesh, B. Shi, Y. Matsushita, Y. Wang et al., Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery, Proceedings of the 10 th Asian Conference on Computer Vision, pp.703-717, 2010.
DOI : 10.1145/965161.806819
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.8921

S. Ikehata, D. Wipf, Y. Matsushita, and K. Aizawa, Photometric Stereo Using Sparse Bayesian Regression for General Diffuse Surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.9, pp.1816-1831, 2014.
DOI : 10.1109/TPAMI.2014.2299798

K. Ikeuchi and B. K. Horn, Numerical Shape from Shading and Occluding Boundaries, Artificial Intelligence, vol.1713, issue.7, pp.141-184, 1981.
DOI : 10.1016/0004-3702(81)90023-0
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.70.5760

Y. Quéau, R. Mecca, and J. Durou, Unbiased Photometric Stereo for Colored Surfaces: A Variational Approach, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.3707-3716
DOI : 10.1109/CVPR.2016.472

R. Kozera, Existence and uniqueness in photometric stereo, Applied Mathematics and Computation, vol.44, issue.1, pp.1-103, 1991.
DOI : 10.1016/0096-3003(91)90001-4

B. K. Horn and M. J. Brooks, The variational approach to shape from shading, Computer Vision, Graphics, and Image Processing, vol.33, issue.2, pp.174-208, 1986.
DOI : 10.1016/0734-189X(86)90114-3

G. H. Golub and C. F. Van-loan, Matrix computations, pp.313-314, 2012.

W. L. Woo and S. S. Dlay, 3D shape restoration using sparse representation and separation of illumination effects, Signal Processing, vol.103, pp.258-272, 2014.
DOI : 10.1016/j.sigpro.2013.12.006

V. Kolmogorov and R. Zabih, What energy functions can be minimized via graph cuts?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.2, pp.147-159, 2004.
DOI : 10.1109/TPAMI.2004.1262177
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1823

F. Courteille, A. Crouzil, J. Durou, and P. Gurdjos, Towards shape from shading under realistic photographic conditions, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.277-280, 2004.
DOI : 10.1109/ICPR.2004.1334160

O. Vogel, L. Valgaerts, M. Breuß, J. Weickert, and L. Valgaerts, Making Shape from Shading Work for Real-World Images, Proceedings of the 31st symposium of the German Association for Pattern Recognition, pp.191-200, 2009.
DOI : 10.1007/978-3-7091-6586-7_13

J. T. Barron and J. Malik, High-frequency shape and albedo from shading using natural image statistics, CVPR 2011, pp.2521-2528, 2011.
DOI : 10.1109/CVPR.2011.5995392

J. Oliensis, Uniqueness in shape from shading, International Journal of Computer Vision, vol.15, issue.1, pp.75-104, 1991.
DOI : 10.1007/BF00128151

C. Hernández, G. Vogiatzis, and R. Cipolla, Shadows in Three-Source Photometric Stereo, Proceedings of the 11 th European Conference on Computer Vision, pp.290-303, 2008.
DOI : 10.1007/978-3-540-88682-2_23

B. Shi, Z. Wu, Z. Mo, D. Duan, S. Yeung et al., A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4359-4368, 2016.
DOI : 10.1109/CVPR.2016.403

L. L. Kontsevich, A. P. Petrov, and I. S. Vergelskaya, Reconstruction of shape from shading in color images, Journal of the Optical Society of America A, vol.11, issue.3, pp.1047-1052, 1994.
DOI : 10.1364/JOSAA.11.001047

B. Zeisl, C. Zach, and M. Pollefeys, Variational Regularization and Fusion of Surface Normal Maps, 2014 2nd International Conference on 3D Vision, pp.601-608, 2014.
DOI : 10.1109/3DV.2014.92

R. Bergmann, R. H. Chan, R. Hielscher, J. Persch, and G. Steidl, Restoration of manifold-valued images by half-quadratic minimization, Inverse Problems and Imaging, vol.10, issue.2, pp.281-304, 2016.

T. Papadhimitri and P. Favaro, A New Perspective on Uncalibrated Photometric Stereo, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.1474-1481
DOI : 10.1109/CVPR.2013.194