S. A. Shafer, Using color to separate reflection components, Color Research & Application, vol.10, issue.4, pp.210-218, 1985.

O. Morel, F. Meriaudeau, C. Stolz, and P. Gorria, Polarization imaging applied to 3d reconstruction of specular metallic surfaces, Electronic Imaging 505 2005, International Society for Optics and Photonics, pp.178-186, 2005.

S. K. Nayar, X. Fang, and T. Boult, Separation of reflection components using color and polarization, International Journal of Computer Vision, vol.21, issue.3, pp.163-186, 1997.

A. Hosni, M. Bleyer, and M. Gelautz, Secrets of adaptive support weight tech-510 niques for local stereo matching, Computer Vision and Image Understanding, vol.117, issue.6, pp.620-632, 2013.

M. Godec, P. M. Roth, and H. Bischof, Hough-based tracking of non-rigid objects, Computer Vision and Image Understanding, vol.117, issue.10, pp.1245-1256, 2013.

A. Artusi, F. Banterle, and D. Chetverikov, A survey of specularity removal methods, Computer Graphics Forum, vol.30, issue.8, pp.2208-2230, 2011.

S. K. Nayar, G. Krishnan, M. D. Grossberg, and R. Raskar, Fast separation of direct and global components of a scene using high frequency illumination, Acm Transactions on Graphics, vol.25, issue.25, pp.935-944, 2006.

M. O'toole, J. Mather, and K. N. , Kutulakos, 3d shape and indirect appearance by structured light transport, IEEE Transactions on Pattern Analysis and Machine Intelligence, pp.1298-1312, 2016.

J. Kim, S. Izadi, and A. Ghosh, Single-shot Layered Reflectance Separation Using a Polarized Light Field Camera, p.525

, Eurographics Symposium on Rendering -Experimental Ideas and Implementations, 2016.

R. Tan, K. Nishino, and K. Ikeuchi, Separating reflection components based on chromaticity and noise analysis, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.10, pp.1373-1379, 2004.

J. Yang, L. Liu, and S. Li, Separating specular and di?use reflection components in the hsi color space, Computer Vision Workshops, p.2013

, IEEE International Conference on, pp.891-898, 2013.

H. Kim, H. Jin, S. Hadap, and I. Kweon, Specular reflection separation using 535 dark channel prior, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1460-1467, 2013.

R. T. Tan and K. Ikeuchi, Separating reflection components of textured surfaces using a single image, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.27, issue.2, pp.178-193, 2005.

L. B. Wol? and T. E. Boult, Constraining object features using a polarization reflectance model, IEEE Transactions on Pattern Analysis & Machine Intelligence, issue.7, pp.635-657, 1991.

M. Born and E. Wolf, Principles of optics: electromagnetic theory of propagation, interference and di?raction of light, vol.545, 1999.

S. Umeyama and G. Godin, Separation of di?use and specular components of surface reflection by use of polarization and statistical analysis of images, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.5, pp.639-647, 2004.

A. Hyvärinen, J. Karhunen, and E. Oja, , vol.46, 2004.

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.23, issue.11, pp.1222-1239, 2001.

F. Wang, S. Ainouz, C. Petitjean, and A. Bensrhair, Polarization-based specularity removal method with global energy mnimization, Proceedings of the IEEE International conference on image processing, 2016.

S. Ainouz, O. Morel, D. Fofi, S. Mosaddegh, and A. Bensrhair, Adaptive processing of catadioptric images using polarization imaging: towards a pola-560 catadioptric model, Optical Engineering, vol.52, issue.3, pp.37001-037001, 2013.

M. Saito, Y. Sato, K. Ikeuchi, and H. Kashiwagi, Measurement of surface orientations of transparent objects using polarization in highlight, Systems and Computers in Japan, vol.32, issue.5, pp.64-71, 2001.

. Fluxdata, Imaging polarimeters fd-1655

G. J. Klinker, S. A. Shafer, and T. Kanade, The measurement of highlights in color images, International Journal of Computer Vision, vol.2, issue.1, pp.7-32, 1988.

P. Z. Peebles, J. Read, and P. Read, Probability, random variables, and random signal principles, vol.3, 2001.

V. Kolmogorov and R. Zabih, Computing Visual Correspondence with Occlusions using Graph Cuts, 2001.

A. Miron, S. Ainouz, A. Rogozan, and A. Bensrhair, A robust cost function for stereo matching of road scenes, Pattern Recognition Letters, vol.38, pp.70-77, 2014.
URL : https://hal.archives-ouvertes.fr/hal-02114542

R. Zabih and J. Woodfill, Non-parametric local transforms for computing visual correspondence, Computer VisionECCV'94, pp.151-158, 1994.

V. Kolmogorov and R. Zabin, What energy functions can be minimized via graph cuts?, Pattern Analysis and Machine Intelligence, vol.580, pp.147-159, 2004.

Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/maxflow algorithms for energy minimization in vision, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.9, pp.1124-1137, 2004.

J. Yang, Z. Cai, L. Wen, Z. Lei, G. Guo et al., A new projection space 585 for separation of specular-di?use reflection components in color images, Proceedings of the 11th Asian Conference on Computer Vision -Volume Part IV, ACCV'12, pp.418-429, 2012.

M. Daisy, D. Tschumperlé, and O. Lézoray, A fast spatial patch blending algorithm for artefact reduction in pattern-based image inpainting, SIG-590 GRAPH Asia, p.8, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00932281

J. P. Godbaz, M. J. Cree, and A. A. Dorrington, Understanding and ameliorating non-linear phase and amplitude responses in amcw lidar, Remote Sensing, vol.4, issue.1, pp.21-42, 2011.

A. Bhandari, M. Feigin, S. Izadi, and C. Rhemann, Resolving multipath in-595 terference in kinect: An inverse problem approach, pp.614-617, 2014.

D. Freedman, Y. Smolin, E. Krupka, I. Leichter, and M. Schmidt, SRA: Fast Removal of General Multipath for ToF Sensors, 2014.