D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), pp.7-42, 2002.
DOI : 10.1109/SMBV.2001.988771

S. M. Seitz, B. Curless, J. Diebel, D. Scharstein, and R. Szeliski, A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.519-528, 2006.
DOI : 10.1109/CVPR.2006.19

V. Nozick and H. Saito, On-line free-viewpoint video: From single to multiple view rendering, International Journal of Automation and Computing, vol.38, issue.8, pp.257-267, 2008.
DOI : 10.1007/s11633-008-0257-y

URL : https://hal.archives-ouvertes.fr/hal-00622369

S. Baker, S. Roth, D. Scharstein, M. Black, J. Lewis et al., A database and evaluation methodology for optical flow, ICCV07, pp.1-8, 2007.

T. Weise, B. Leibe, and L. V. , Fast 3D Scanning with Automatic Motion Compensation, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383291

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.3817

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

R. Zhang, P. Tsai, J. Cryer, and M. Shah, Shape-from-shading: a survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.8, pp.690-706, 1999.
DOI : 10.1109/34.784284

R. J. Woodham, Photometric Method For Determining Surface Orientation From Multiple Images, Optical Engineering, vol.19, issue.1, 1989.
DOI : 10.1117/12.7972479

S. P. Mallick, T. E. Zickler, D. J. Kriegman, and P. N. Belhumeur, Beyond Lambert: Reconstructing Specular Surfaces Using Color, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.619-626, 2005.
DOI : 10.1109/CVPR.2005.88

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.2590

P. Hallinan, A low-dimensional representation of human faces for arbitrary lighting conditions, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, pp.995-999, 1994.
DOI : 10.1109/CVPR.1994.323941

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.1264

R. J. Woodham, Gradient and curvature from the photometric-stereo method, including local confidence estimation, Journal of the Optical Society of America A, vol.11, issue.11, pp.3050-3068, 1994.
DOI : 10.1364/JOSAA.11.003050

C. Hernandez, G. Vogiatzis, G. Brostow, B. Stenger, and R. Cipolla, Non-rigid Photometric Stereo with Colored Lights, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4408939

T. Malzbender, B. Wilburn, D. Gelb, and B. Ambrisco, Surface enhancement using real-time photometric stereo and reflectance transformation, Eurographics Symposium on Rendering, 2006.

V. Nozick, I. Daribo, and H. Saito, Gpu-based photometric reconstruction from screen light, 8th Annual International Conference on Artificial reality and Telexistence (ICAT2008), dec, pp.242-245, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00733816

H. Hideki, Photometric stereo under a light-source with arbitrary motion, JOSA-A, vol.11, issue.11, pp.3079-3089, 1994.

A. Yuille, D. Snow, R. Epstein, and P. Belhumeur, Determining generative models of objects under varying illumination: Shape and albedo from multiple images using SVD and integrability, International Journal of Computer Vision, vol.35, issue.3, pp.203-222, 1999.
DOI : 10.1023/A:1008180726317

N. Petrovic, I. Cohen, B. J. Frey, R. Koetter, and T. S. Huang, Enforcing integrability for surface reconstruction algorithms using belief propagation in graphical models, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.743-748, 2001.
DOI : 10.1109/CVPR.2001.990550

P. N. Belhumeur, D. J. Kriegman, and A. L. Yuille, The bas-relief ambiguity, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1060-1072, 1997.
DOI : 10.1109/CVPR.1997.609461