L. Alvarez, R. Deriche, J. Sanchez, and J. Weickert, Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach, Journal of Visual Communication and Image Representation, vol.13, issue.1-2, 2000.
DOI : 10.1006/jvci.2001.0482
URL : https://hal.archives-ouvertes.fr/inria-00072780

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum-Likelihood for Incomplete Data via the EM Algorithm, J. Royal Statistical Society, Series B, vol.39, issue.1, pp.1-38, 1977.

O. Faugeras, Three-Dimensional Computer Vision: A Geometric Viewpoint, 1993.

K. Konolige, Small Vision Systems: Hardware and Implementation, Eighth International Symposium on Robotics Research, 1997.
DOI : 10.1007/978-1-4471-1580-9_19

B. J. Kröse, N. Vlassis, R. Bunschoten, and Y. Motomura, A probabilistic model for appearance-based robot localization, Image and Vision Computing, vol.19, issue.6, pp.381-391, 2001.
DOI : 10.1016/S0262-8856(00)00086-X

T. Minka, Expected-Maximization as Lower Bound Maximization

M. K. Pitt and N. Shephard, Filtering via Simulation: Auxiliary Particle Filters, Journal of the American Statistical Association, vol.24, issue.446, pp.590-599, 1999.
DOI : 10.1016/0005-1098(71)90097-5
URL : http://www.tandfonline.com/doi/pdf/10.1080/07350015.2015.1052457

S. Roweis, EM Algorithms for PCA and SPCA, Advances in Neural Information Processing Systems, 1998.

J. J. Verbeek, Probabilistic PCA with Missing Values Matlab Source Code

N. Vlassis, B. Terwijn, and B. J. Kröse, Auxiliary particle filter robot localization from high-dimensional sensor observations, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), pp.7-12, 2002.
DOI : 10.1109/ROBOT.2002.1013331