D. Lowe, Object recognition from local scale-invariant features, in: Computer Vision, The Proceedings of the Seventh IEEE International Conference on, vol.2, pp.1150-1157, 1999.

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.27, issue.10, 2005.

C. Wu, SiftGPU: A GPU implementation of scale invariant feature transform, 2007.

H. Bay, T. Tuytelaars, and L. Gool, Surf: Speeded up robust features, Computer Vision-ECCV 2006, vol.3951, pp.404-417, 2006.

J. Morel and G. Yu, Asift: A new framework for fully affine invariant image comparison, SIAM J. Img. Sci, vol.2, issue.2, pp.438-469, 2009.

M. Calonder, V. Lepetit, C. Strecha, and P. Fua, Brief: Binary robust independent elementary features, Computer Vision-ECCV 2010, vol.6314, pp.778-792, 2010.

T. Ojala, M. Pietikainen, and D. Harwood, Performance evaluation of texture measures with classification based on kullback discrimination of distributions, Pattern Recognition, vol.1, 1994.

, Image Processing, Proceedings of the 12th IAPR International Conference on, vol.1, pp.582-585, 1994.

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, Orb: An efficient alternative to sift or surf, Proceedings of the 2011 International Conference on Computer Vision, ICCV '11, pp.2564-2571, 2011.

S. Leutenegger, M. Chli, and R. Y. Siegwart, Brisk: Binary robust invariant scalable keypoints, Proceedings of the 2011 International Conference on Computer Vision, ICCV '11, pp.2548-2555, 2011.

R. Ortiz, Freak: Fast retina keypoint, Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CVPR '12, pp.510-517, 2012.

T. Trzcinski and V. Lepetit, Efficient Discriminative Projections for Compact Binary Descriptors, 2012.

M. C. Trzcinski and V. Lepetit, Learning Image Descriptors with Boosting, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)

V. Balntas, L. Tang, and K. Mikolajczyk, Bold-binary online learned descriptor for efficient image matching, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

G. Levi and T. Hassner, LATCH: learned arrangements of three patch codes, Winter Conference on Applications of Computer Vision (WACV), 2016.

E. Rosten and T. Drummond, Machine learning for high-speed corner detection, European Conference on Computer Vision, vol.1, pp.430-443, 2006.

C. Harris and M. Stephens, Proc. of Fourth Alvey Vision Conference, pp.147-151, 1988.

R. Deriche, Z. Zhang, Q. Luong, and O. Faugeras, Robust recovery of the epipolar geometry for an uncalibrated stereo rig, Proceedings of the Third European Conference on Computer Vision, vol.1, pp.567-576, 1994.

P. H. Torr and D. W. Murray, Outlier detection and motion segmentation, pp.432-443, 1995.

J. Zhao, J. Ma, J. Tian, J. Ma, and D. Zhang, A robust method for vector field learning with application to mismatch removing, Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp.2977-2984, 2011.

J. Ma, J. Zhao, J. Tian, A. L. Yuille, and Z. Tu, Robust point matching via vector field consensus, IEEE Transactions on Image Processing, vol.23, issue.4, pp.1706-1721, 2014.

M. A. Fischler and R. C. Bolles, Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Commun. ACM, vol.24, issue.6, 1981.
DOI : 10.1016/b978-0-08-051581-6.50070-2

URL : http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA460585&Location=U2&doc=GetTRDoc.pdf

P. H. Torr and A. Zisserman, Mlesac: A new robust estimator with application to estimating image geometry, Comput. Vis. Image Underst, vol.78, issue.1, pp.138-156, 2000.
DOI : 10.1006/cviu.1999.0832

URL : http://www.cs.cmu.edu/~misc-read/talks-2003/torr_mlesac.pdf

T. Sattler, B. Leibe, and L. Kobbelt, Scramsac: Improving ransac's efficiency with a spatial consistency filter, pp.2090-2097, 2009.
DOI : 10.1109/iccv.2009.5459459

URL : http://www.graphics.rwth-aachen.de/media/papers/sattler_2009_iccv1.pdf

S. Pang, J. Xue, Q. Tian, and N. Zheng, Exploiting local linear geometric structure for identifying correct matches, Computer Vision and Image Understanding, vol.128, issue.0, pp.51-64, 2014.
DOI : 10.1016/j.cviu.2014.06.006

,

X. Li and Z. Hu, Rejecting mismatches by correspondence function, Int. J. Comput. Vision, vol.89, issue.1, pp.1-17, 2010.

G. Loy and J. Eklundh, Detecting symmetry and symmetric constellations of features, Proceedings of the 9th European Conference on Computer Vision-Volume Part II, ECCV'06, pp.508-521, 2006.

S. Lee, R. Collins, and Y. Liu, Rotation symmetry group detection via frequency analysis of frieze-expansions, Proceedings of CVPR 2008, 2008.

Y. Liu, R. Collins, and Y. Tsin, A computational model for periodic pattern perception based on frieze and wallpaper groups, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.3, pp.354-371, 2004.

N. Jiang, P. Tan, and L. F. Cheong, Multi-view repetitive structure detection, pp.535-542, 2011.

M. Pauly, N. J. Mitra, J. Wallner, H. Pottmann, and L. J. Guibas, Discovering structural regularity in 3d geometry, ACM SIGGRAPH 2008 Papers, SIGGRAPH '08, vol.43, 2008.

E. N. Mortensen, H. Deng, and L. Shapiro, A sift descriptor with global context, Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05, vol.1, pp.184-190, 2005.

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Trans. Pattern Anal. Mach. Intell, vol.24, issue.4, pp.509-522, 2002.

S. J. Mok, K. Jung, D. W. Ko, S. H. Lee, and B. Choi, Serp: Surf enhancer for repeated pattern, Proceedings of the 7th International Conference on Advances in Visual Computing-Volume Part II, pp.578-587, 2011.

P. Martins, P. Carvalho, and C. Gatta, Context aware keypoint extraction for robust image representation, Proceedings of the British Machine Vision Conference, 2012.

E. Parzen, On estimation of a probability density function and mode, The Annals of Mathematical Statistics, vol.33, issue.3, pp.1065-1076, 1962.

J. Rabin, Y. Gousseau, and J. Delon, A contrario matching of local descriptors, 2007.

J. Rabin, J. Delon, and Y. Gousseau, A statistical approach to the matching of local features, SIAM Journal on Imaging Sciences, p.958, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00168285

J. G. Skellam, The frequency distribution of the difference between two poisson variates belonging to different populations, J. Royal Statist. Soc, vol.109, p.296, 1946.