Three things everyone should know to improve object retrieval, CVPR, pp.2911-2918, 2012. ,
Novel ways to estimate homography from local affine transformations, 2016. ,
Reliable feature matching across widely separated views, CVPR, vol.1, pp.774-781, 2000. ,
Topological and Geometrical Aspects of Image Structure, 1992. ,
A Theory of Shape Identification, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00319719
, Deep image homography estimation, 2016.
Geometric expansion for local feature analysis and matching, SIAM Journal on Imaging Sciences, vol.8, issue.4, pp.2771-2813, 2015. ,
Local Region Expansion: a Method for Analyzing and Refining Image Matches, Image Processing On Line, vol.7, pp.386-398, 2017. ,
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, vol.24, issue.6, pp.381-395, 1981. ,
Multiple view geometry in computer vision, 2003. ,
Image matching using local symmetry features, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.206-213, 2012. ,
Basic equation of figure and and observational transformation, Computers, Controls, vol.2, issue.4, pp.70-77, 1971. ,
Microsoft coco: Common objects in context, ECCV, pp.740-755, 2014. ,
Scale-Space Theory in Computer Vision. Royal Institute of Technology, 1993. ,
Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D brightness structure, ECCV, pp.389-400, 1994. ,
Distinctive image features from scale-invariant keypoints, IJCV, vol.60, issue.2, pp.91-110, 2004. ,
Robust wide-baseline stereo from maximally stable extremal regions, IVC, vol.22, issue.10, pp.761-767, 2004. ,
, An affine invariant interest point detector. ECCV, vol.1, pp.128-142, 2002.
, Scale and Affine Invariant Interest Point Detectors. IJCV, vol.60, issue.1, pp.63-86, 2004.
A comparison of affine region detectors, International journal of computer vision, vol.65, issue.1-2, pp.43-72, 2005. ,
URL : https://hal.archives-ouvertes.fr/inria-00548528
Working hard to know your neighbor's margins: Local descriptor learning loss, Advances in Neural Information Processing Systems, pp.4826-4837, 2017. ,
MODS: Fast and robust method for two-view matching, vol.141, pp.81-93, 2015. ,
Repeatability is not enough: Learning affine regions via discriminability, Proceedings of the European Conference on Computer Vision (ECCV), pp.284-300, 2018. ,
Automatic Homographic Registration of a Pair of Images, with A Contrario Elimination of, Outliers. IPOL, vol.2, pp.56-73, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00711852
Fundamental Matrix of a Stereo Pair, with A Contrario Elimination of Outliers, IPOL, vol.6, pp.89-113, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01386806
ASIFT: A new framework for fully affine invariant image comparison, SIAM Journal on Imaging Sciences, vol.2, issue.2, pp.438-469, 2009. ,
Unsupervised thresholds for shape matching, ICIP, 2003. ,
An A Contrario Decision Method for Shape Element Recognition, IJCV, vol.69, issue.3, pp.295-315, 2006. ,
Fully affine invariant SURF for image matching, Neurocomputing, vol.85, pp.6-10, 2012. ,
USAC: a universal framework for random sample consensus, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.8, pp.2022-2038, 2013. ,
Accurate motion estimation through random sample aggregated consensus, 2017. ,
Theory and practice of structure-from-motion using affine correspondences, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.5470-5478, 2016. ,
Comparing feature detectors: A bias in the repeatability criteria, 2015 IEEE International Conference on Image Processing (ICIP), pp.3024-3028, 2015. ,
Convolutional neural network architecture for geometric matching, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01859616
Affine invariant image comparison under repetitive structures, ICIP, pp.1203-1207, 2018. ,
Covering the space of tilts. application to affine invariant image comparison, SIIMS, vol.11, issue.2, pp.1230-1267, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01589522
Fast affine invariant image matching, IPOL, vol.8, pp.251-281, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-02002845
Siftaid: boosting sift with an affine invariant descriptor based on convolutional neural networks, ICIP, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02016010
Very deep convolutional networks for large-scale image recognition, 2014. ,
Wide baseline stereo matching based on local, affinely invariant regions, BMVC, pp.412-425, 2000. ,
Matching Widely Separated Views Based on Affine Invariant Regions, IJCV, vol.59, issue.1, pp.61-85, 2004. ,
, Content-based image retrieval based on local affinely invariant regions. Int. Conf. on Visual Information Systems, pp.493-500, 1999.
Robust point matching for nonrigid shapes by preserving local neighborhood structures, IEEE transactions on pattern analysis and machine intelligence, vol.28, pp.643-649, 2006. ,
Edge foci interest points, 2011 International Conference on Computer Vision, pp.359-366, 2011. ,