P. J. Bickel, Y. Ritov, and A. B. Tsybakov, Simultaneous analysis of Lasso and Dantzig selector, The Annals of Statistics, vol.37, issue.4, pp.1705-1732, 2009.
DOI : 10.1214/08-AOS620

URL : https://hal.archives-ouvertes.fr/hal-00401585

E. Candès and T. Tao, The Dantzig selector: Statistical estimation when p is much larger than n, The Annals of Statistics, vol.35, issue.6, pp.2313-2351, 2007.
DOI : 10.1214/009053606000001523

E. J. Candès and P. A. Randall, Highly Robust Error Correction byConvex Programming, IEEE Transactions on Information Theory, vol.54, issue.7, pp.2829-2840, 2008.
DOI : 10.1109/TIT.2008.924688

E. J. Candès, J. K. Romberg, and T. Tao, Stable signal recovery from incomplete and inaccurate measurements, Communications on Pure and Applied Mathematics, vol.7, issue.8, pp.1207-1223, 2006.
DOI : 10.1002/cpa.20124

E. J. Candès and T. Tao, Decoding by Linear Programming, IEEE Transactions on Information Theory, vol.51, issue.12, pp.4203-4215, 2005.
DOI : 10.1109/TIT.2005.858979

A. S. Dalalyan, A. Juditsky, and V. Spokoiny, A new algorithm for estimating the effective dimension-reduction subspace, J. Mach. Learn. Res, vol.9, pp.1648-1678, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00128129

D. Donoho, M. Elad, and V. Temlyakov, Stable recovery of sparse overcomplete representations in the presence of noise, IEEE Transactions on Information Theory, vol.52, issue.1, pp.6-18, 2006.
DOI : 10.1109/TIT.2005.860430

D. L. Donoho and X. Huo, Uncertainty principles and ideal atomic decomposition, IEEE Transactions on Information Theory, vol.47, issue.7, pp.2845-2862, 2001.
DOI : 10.1109/18.959265

O. Enqvist and F. Kahl, Robust Optimal Pose Estimation, European Conference on Computer Vision, pp.141-153, 2008.
DOI : 10.1007/978-3-540-88682-2_12

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.139.8652

R. Hartley and F. Kahl, Global Optimization through Rotation Space Search, International Journal of Computer Vision, vol.11, issue.12, pp.64-79, 2009.
DOI : 10.1007/s11263-008-0186-9

URL : http://hdl.handle.net/1885/50831

R. I. Hartley and F. Schaffalitzky, L/sub X/ minimization in geometric reconstruction problems, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.504-509, 2004.
DOI : 10.1109/CVPR.2004.1315073

R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2004.
DOI : 10.1017/CBO9780511811685

F. Kahl, Multiple view geometry and the L?-norm, International Conference on Computer Vision, pp.1002-1009, 2005.

F. Kahl and R. I. Hartley, Multiple-View Geometry Under the {$L_\infty$}-Norm, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.9, pp.1603-1617, 2008.
DOI : 10.1109/TPAMI.2007.70824

T. Kanade and Q. Ke, Quasiconvex optimization for robust geometric reconstruction, International Conference on Computer Vision, pp.986-993, 2005.

Q. Ke and T. Kanade, Uncertainty models in quasiconvex optimization for geometric reconstruction, Conference on Computer Vision and Pattern Recognition, pp.1199-1205, 2006.

H. D. Li, A practical algorithm for L triangulation with outliers, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383068

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931

D. Martinec and T. Pajdla, Robust Rotation and Translation Estimation in Multiview Reconstruction, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383115

D. Nistér, An efficient solution to the five-point relative pose problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.6, pp.756-777, 2004.
DOI : 10.1109/TPAMI.2004.17

C. Olsson, A. P. Eriksson, and F. Kahl, Efficient optimization for L? problems using pseudoconvexity, International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/iccv.2007.4409087

Y. Seo, H. Lee, and S. W. Lee, Outlier Removal by Convex Optimization for L-Infinity Approaches, PSIVT '09: Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology, pp.203-214, 2009.
DOI : 10.1017/CBO9780511804441

Y. D. Seo and R. I. Hartley, A fast method to minimize L? error norm for geometric vision problems, International Conference on Computer Vision, pp.1-8, 2007.

Y. D. Seo, H. J. Lee, and S. W. Lee, Sparse structures in Linfinity norm minimization for structure and motion reconstruction, European Conference on Computer Vision, pp.780-793, 2008.

K. Sim and R. Hartley, Removing Outliers Using The L\infty Norm, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.485-494, 2006.
DOI : 10.1109/CVPR.2006.253

C. Strecha, W. Von-hansen, L. V. Gool, P. Fua, and U. Thoennessen, On benchmarking camera calibration and multiview stereo for high resolution imagery, Conference on Computer Vision and Pattern Recognition, pp.1-8, 2009.

J. F. Sturm, Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones. Optim. Methods Softw, pp.625-653, 1999.
DOI : 10.1080/10556789908805766

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.6954

A. Vedaldi and B. Fulkerson, Vlfeat, Proceedings of the international conference on Multimedia, MM '10, 2008.
DOI : 10.1145/1873951.1874249

P. Zhao and B. Yu, On model selection consistency of Lasso, J. Mach. Learn. Res, vol.7, pp.2541-2563, 2006.