N. G. Alldrin, S. P. Mallick, and D. J. Kriegman, Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization, 2007 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2007.
DOI : 10.1109/CVPR.2007.383208

R. Basri, D. Jacobs, and I. Kemelmacher, Photometric Stereo with General, Unknown Lighting, International Journal of Computer Vision, vol.63, issue.2, pp.239-257, 2007.
DOI : 10.1007/s11263-006-8815-7

X. Bresson and T. Chan, Fast dual minimization of the vectorial total variation norm and applications to color image processing, Inverse Problems and Imaging, vol.2, issue.4, pp.455-484, 2008.
DOI : 10.3934/ipi.2008.2.455

A. Chambolle, An algorithm for total variation minimization and applications, JMIV, vol.20, issue.12, pp.89-97, 2004.

A. Chambolle and T. Pock, A First-Order Primal-Dual Algorithm for Convex Problems with??Applications to Imaging, Journal of Mathematical Imaging and Vision, vol.60, issue.5, pp.120-145, 2011.
DOI : 10.1007/s10851-010-0251-1
URL : https://hal.archives-ouvertes.fr/hal-00490826

J. D. Durou, J. F. Aujol, and F. Courteille, Integrating the Normal Field of a Surface in the Presence of Discontinuities, p.EMMCVPR, 2009.
DOI : 10.1109/TPAMI.2007.70820

A. Georghiades, Incorporating the Torrance and Sparrow model of reflectance in uncalibrated photometric stereo, Proceedings Ninth IEEE International Conference on Computer Vision, p.ICCV, 2003.
DOI : 10.1109/ICCV.2003.1238432

B. Goldluecke, E. Strekalovskiy, and D. Cremers, The Natural Vectorial Total Variation Which Arises from Geometric Measure Theory, SIAM Journal on Imaging Sciences, vol.5, issue.2, pp.537-563, 2012.
DOI : 10.1137/110823766

T. Goldstein and S. Osher, The Split Bregman Method for L1-Regularized Problems, SIAM Journal on Imaging Sciences, vol.2, issue.2, pp.323-343, 2009.
DOI : 10.1137/080725891

S. Ikehata, D. Wipf, Y. Matsushita, and K. Aizawa, Robust photometric stereo using sparse regression, 2012 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2012.
DOI : 10.1109/CVPR.2012.6247691

R. Mecca, A. Tankus, A. Wetzler, and A. M. Bruckstein, A Direct Differential Approach to Photometric Stereo with Perspective Viewing, SIAM Journal on Imaging Sciences, vol.7, issue.2, pp.579-612, 2014.
DOI : 10.1137/120902458

D. Mumford, Bayesian Rationale for the Variational Formulation, pp.135-146, 1994.
DOI : 10.1007/978-94-017-1699-4_5

S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin, An Iterative Regularization Method for Total Variation-Based Image Restoration, Multiscale Modeling & Simulation, vol.4, issue.2, pp.460-489, 2005.
DOI : 10.1137/040605412

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

Y. Quéau, F. Lauze, and J. D. Durou, Solving Uncalibrated Photometric Stereo Using Total Variation, Journal of Mathematical Imaging and Vision, vol.19, issue.1, 2015.
DOI : 10.1007/s10851-014-0512-5

T. Simchony, R. Chellappa, and M. Shao, Direct analytical methods for solving Poisson equations in computer vision problems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.5, pp.435-446, 1990.
DOI : 10.1109/34.55103

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