G. Boström, J. Gonalves, and V. Sequeira, Controlled 3D Data Fusion using Error-bounds, ISPRS Journal of Photogrammetry and Remote Sensing, vol.63, issue.1, 2008.
DOI : 10.1016/j.isprsjprs.2007.07.011

S. Brandt, On the probabilistic epipolar geometry, 2006.

F. Cao, J. Lisani, J. Morel, P. Musé, and F. Sur, A theory of shape identification, 2008.
DOI : 10.1007/978-3-540-68481-7
URL : https://hal.archives-ouvertes.fr/inria-00319719

A. Desolneux, L. Moisan, and J. Morel, From Gestalt theory to image analysis, 2008.
DOI : 10.1007/978-0-387-74378-3
URL : https://hal.archives-ouvertes.fr/hal-00259077

M. Fischler and R. Bolles, Random sample consensus: A paradigm for model fitting, Comm. of the ACM, 1981.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2000.
DOI : 10.1017/CBO9780511811685

D. Lowe, Distinctive image features from scaleinvariant keypoints, 2004.

P. Mahalanobis, On the generalised distance in statistics, Proc. of the Nat. Inst. of Sciences of India, 1936.

L. Moisan and B. Stival, A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix, International Journal of Computer Vision, vol.57, issue.3, 2004.
DOI : 10.1023/B:VISI.0000013094.38752.54
URL : https://hal.archives-ouvertes.fr/hal-00171323

B. Ochoa and S. Belongie, Covariance propagation for guided matching, 2006.

T. Papadopoulo and M. Lourakis, Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications, 2000.
DOI : 10.1007/3-540-45054-8_36
URL : https://hal.archives-ouvertes.fr/inria-00072686

X. Pennec and J. Thirion, A framework for uncertainty and validation of 3D registration methods based on points and frames, 1997.
URL : https://hal.archives-ouvertes.fr/inria-00615070

R. Raguram, J. Frahm, and M. Pollefeys, Exploiting uncertainty in random sample consensus, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459456

F. Sur, N. Noury, and M. Berger, Computing the Uncertainty of the 8 point Algorithm for Fundamental Matrix Estimation, Procedings of the British Machine Vision Conference 2008, 2008.
DOI : 10.5244/C.22.96
URL : https://hal.archives-ouvertes.fr/inria-00319704

B. Tordoff and R. Cipolla, Uncertain RanSaC, 2005.

P. Torr and A. Zisserman, MLESAC: A New Robust Estimator with Application to Estimating Image Geometry, Computer Vision and Image Understanding, vol.78, issue.1, 2000.
DOI : 10.1006/cviu.1999.0832

B. Zeisl, P. Georgel, F. Schweiger, E. Steinbach, and N. Navab, Estimation of Location Uncertainty for Scale Invariant Feature Points, Procedings of the British Machine Vision Conference 2009, 2009.
DOI : 10.5244/C.23.57