P. Besl and N. Mckay, A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, pp.239-256, 1992.
DOI : 10.1109/34.121791

M. J. Clarkson, D. Rueckert, A. P. King, P. J. Edwards, D. L. Hill et al., Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping, Proc. MICCAI'99, volume LNCS 1679, pp.579-588, 1999.
DOI : 10.1007/10704282_62

K. Deguchi and T. Okatani, Shape reconstruction from an endoscope image by shape-from-shading technique for a point light source at the projection center, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, pp.290-298, 1996.
DOI : 10.1109/MMBIA.1996.534081

D. Dey, D. G. Gobbi, P. J. Slomka, K. J. Surry, and T. M. Peters, Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: creating stereoscopic panoramas, IEEE Transactions on Medical Imaging, vol.21, issue.1, pp.23-30, 2002.
DOI : 10.1109/42.981231

C. H. Forster and C. L. Tozzi, Toward 3d reconstruction of endoscope images using shape from shading, Proc. SIBGRAPI'00, XIII Brazilian Symposium on Computer Graphics and Image Processing, pp.90-96, 2000.

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. Hartley and A. Zisserman, Multiple view geometry in Computer vision, 2004.
DOI : 10.1017/CBO9780511811685

B. K. Horn and M. J. Brooks, Shape from Shading, 1989.

K. Ikeuchi and B. K. Horn, Numerical shape from shading and occluding boundaries, AIJ, vol.17, issue.1, pp.141-184, 1981.

A. K. Iyengar, H. Sugimoto, D. B. Smith, and M. S. Sacks, Dynamic In Vitro Quantification of Bioprosthetic Heart Valve Leaflet Motion Using Structured Light Projection, Annals of Biomedical Engineering, vol.29, issue.11, pp.963-973, 2001.
DOI : 10.1114/1.1415523

R. Kimmel and J. A. Sethian, Optimal algorithm for shape from shading and path planning, Journal of Mathematical Imaging and Vision, vol.14, issue.3, pp.237-244, 2001.
DOI : 10.1023/A:1011234012449

R. Kozera, An overview of the shape from shading problem. Machine Graphics and Vision, pp.291-312, 1998.

A. Litvinov and Y. Y. Schechner, Addressing Radiometric Nonidealities: A Unified Framework, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.52-59, 2005.
DOI : 10.1109/CVPR.2005.64
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.1183

F. Mourgues, F. Devernay, G. Malandain, and E. , CosteManì ere. 3d reconstruction of the operating field for image overlay in 3d- endoscopic surgery, Proc. IEEE International Symposium on Augmented Reality, p.191, 2001.

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

C. Poelman and T. Kanade, A paraperspective factorization method for shape and motion recovery, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.3, pp.206-218, 1997.
DOI : 10.1109/34.584098

M. Pollefeys, R. Koch, and L. Vangool, Self-calibration and metric reconstruction inspite of varying and unknown intrinsic camera parameters, International Journal of Computer Vision, vol.32, issue.1, pp.7-25, 1999.
DOI : 10.1023/A:1008109111715

E. Prados, F. Camilli, and O. Faugeras, A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications, Journal of Mathematical Imaging and Vision, vol.2, issue.6, pp.307-328, 2006.
DOI : 10.1007/s10851-006-6899-x
URL : https://hal.archives-ouvertes.fr/inria-00377391

E. Prados and O. Faugeras, "Perspective shape from shading" and viscosity solutions, Proceedings Ninth IEEE International Conference on Computer Vision, pp.826-831, 2003.
DOI : 10.1109/ICCV.2003.1238433
URL : https://hal.archives-ouvertes.fr/inria-00394240

E. Prados and O. Faugeras, Shape from Shading: A Well-Posed Problem?, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.870-877, 2005.
DOI : 10.1109/CVPR.2005.319
URL : https://hal.archives-ouvertes.fr/inria-00394230

S. Seshamani, W. Lau, and G. Hager, Real-Time Endoscopic Mosaicking, Proc. MICCAI'03, volume LNCS 4190, pp.355-363, 2006.
DOI : 10.1007/11866565_44

D. Stoyanov, A. Darzi, and G. Z. Yang, A practical approach towards accurate dense 3D depth recovery for robotic laparoscopic surgery, Computer Aided Surgery, vol.10, issue.4, pp.199-208, 2005.
DOI : 10.1023/A:1007940725322

A. Tankus, N. Sochen, and Y. Yeshurun, Reconstruction of medical images by perspective shape-from-shading, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.778-781, 2004.
DOI : 10.1109/ICPR.2004.1334644

A. Tankus, N. Sochen, and Y. Yeshurun, Shape-from-Shading Under Perspective Projection, International Journal of Computer Vision, vol.13, issue.7, pp.21-43, 2005.
DOI : 10.1007/s11263-005-4945-6

R. Y. Tsai, A versatile camera calibration technique for highaccuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IJRA, pp.323-344, 1987.

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

C. Wu, S. G. Narasimhan, and B. Jaramaz, Endoscope calibration and derivation for shape from shading, 2007.

T. Yamaguchi, M. Nakamoto, Y. Sato, K. Konishi, M. Hashizume et al., Development of a camera model and calibration procedure for oblique-viewing endoscopes, Computer Aided Surgery, vol.9, issue.5, pp.203-214, 2004.

R. Zhang, P. S. Tsai, J. E. 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

Z. Zhang, A flexible new technique for camera calibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.11, 1998.
DOI : 10.1109/34.888718