Face Description with Local Binary Patterns: Application to Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.12, pp.2037-2041, 2006. ,
DOI : 10.1109/TPAMI.2006.244
FREAK: Fast Retina Keypoint, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.510-517, 2012. ,
DOI : 10.1109/CVPR.2012.6247715
URL : https://infoscience.epfl.ch/record/175537/files/2069.pdf
The Marr Conjecture and Uniqueness of Wavelet Transforms, arXiv preprint, 2015. ,
Unique recovery from edge information, 2015 International Conference on Sampling Theory and Applications (SampTA), pp.312-316, 2015. ,
DOI : 10.1109/SAMPTA.2015.7148903
Some informational aspects of visual perception., Psychological review, pp.61-183, 1954. ,
SIFT Features Tracking for Video Stabilization, 14th International Conference on Image Analysis and Processing (ICIAP 2007), pp.825-830, 2007. ,
DOI : 10.1109/ICIAP.2007.4362878
URL : http://iplab.dmi.unict.it/download/Elenco%20Pubblicazioni%20(PDF)/International%20Conferences/IC58%202007%20IEEE%20ICIAP%20SIFT.pdf
Speeded-up robust features (SURF), Computer vision and image understanding, pp.346-359, 2008. ,
DOI : 10.1016/j.cviu.2007.09.014
URL : http://www.cs.jhu.edu/%7Emisha/ReadingSeminar/Papers/Bay08.pdf
EigenTracking: Robust matching and tracking of articulated objects using a view-based representation, International Journal of Computer Vision, vol.26, pp.63-84, 1998. ,
DOI : 10.1007/BFb0015548
Learning mid-level features for recognition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2559-2566, 2010. ,
DOI : 10.1109/CVPR.2010.5539963
Ask the locals: Multi-way local pooling for image recognition, 2011 International Conference on Computer Vision, pp.2651-2658, 2011. ,
DOI : 10.1109/ICCV.2011.6126555
URL : https://hal.archives-ouvertes.fr/hal-00646816
Visual categorization with bags of keypoints, Workshop on statistical learning in computer vision, ECCV, 2004. ,
Reconstruction of multidimensional signals from zero crossings, Journal of the Optical Society of America A, vol.4, issue.1, pp.221-231, 1987. ,
DOI : 10.1364/JOSAA.4.000221
URL : http://dspace.mit.edu/bitstream/1721.1/4234/1/RLE-TR-509-17684934.pdf
Reconstruction of nonperiodic two-dimensional signals from zero crossings, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.35, issue.6, pp.890-893, 1987. ,
DOI : 10.1109/TASSP.1987.1165212
Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005. ,
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512
From Bits to Images: Inversion of Local Binary Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.5, pp.874-887, 2014. ,
DOI : 10.1109/TPAMI.2013.228
When the a contrario approach becomes generative, International Journal of Computer Vision, vol.27, issue.2, pp.46-65, 2016. ,
DOI : 10.1023/A:1007925832420
Stochastic Image Reconstruction from Local Histograms of Gradient Orientation, Proceedings of the sixth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), pp.133-145, 2017. ,
DOI : 10.1007/978-1-4419-8853-9
From Gestalt theory to image analysis: a probabilistic approach, 2007. ,
DOI : 10.1007/978-0-387-74378-3
URL : https://hal.archives-ouvertes.fr/hal-00259077
Inverting Visual Representations with Convolutional Networks, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2016.522
URL : http://arxiv.org/pdf/1506.02753
Scale space localization, blur, and contour-based image coding, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.27-34, 1996. ,
DOI : 10.1109/CVPR.1996.517049
Three-dimensional computer vision: a geometric viewpoint, 1993. ,
Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1627-1645, 2010. ,
DOI : 10.1109/TPAMI.2009.167
Reconstructions from zero crossings in scale space, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.37, issue.12, pp.2111-2130, 1989. ,
DOI : 10.1109/29.45555
Learning to Invert Local Binary Patterns, Procedings of the British Machine Vision Conference 2016, 2016. ,
DOI : 10.5244/C.30.29
Image Reconstruction from Bag-of-Visual-Words, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.955-962, 2014. ,
DOI : 10.1109/CVPR.2014.127
Imagenet classification with deep convolutional neural networks, in Advances in neural information processing systems, pp.1097-1105, 2012. ,
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2169-2178, 2006. ,
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585
BRISK: Binary Robust invariant scalable keypoints, 2011 International Conference on Computer Vision, pp.2548-2555, 2011. ,
DOI : 10.1109/ICCV.2011.6126542
URL : http://margaritachli.com/papers/ICCV2011paper.pdf
Feature detection with automatic scale selection, International Journal of Computer Vision, vol.30, issue.2, pp.79-116, 1998. ,
DOI : 10.1023/A:1008045108935
Image Matching Using Generalized Scale-Space Interest Points, Journal of Mathematical Imaging and Vision, vol.12, issue.5, pp.3-36, 2015. ,
DOI : 10.1007/s001380050130
URL : http://kth.diva-portal.org/smash/get/diva2:752787/FULLTEXT01
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://www.cs.ubc.ca/~lowe/papers/ijcv03.ps
Learning FRAME models using CNN filters for knowledge visualization, CoRR, abs/1509, p.8379, 2015. ,
Understanding deep image representations by inverting them, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.5188-5196, 2015. ,
DOI : 10.1109/CVPR.2015.7299155
URL : http://arxiv.org/pdf/1412.0035
Visualizing Deep Convolutional Neural Networks Using Natural Pre-images, International Journal of Computer Vision, vol.27, issue.2, pp.233-255, 2016. ,
DOI : 10.1145/279232.279236
URL : http://arxiv.org/pdf/1512.02017
Adaptive and Generic Corner Detection Based on the Accelerated Segment Test, European conference on Computer vision, pp.183-196, 2010. ,
DOI : 10.1007/978-3-642-15552-9_14
Characterization of signals from multiscale edges, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.7, pp.710-732, 1992. ,
DOI : 10.1109/34.142909
Vision: A computational investigation into the human representation and processing of visual information, 1982. ,
DOI : 10.7551/mitpress/9780262514620.001.0001
Theory of Edge Detection, Proceedings of the Royal Society B: Biological Sciences, vol.207, issue.1167, pp.187-217, 1980. ,
DOI : 10.1098/rspb.1980.0020
Scale & Affine Invariant Interest Point Detectors, International Journal of Computer Vision, vol.60, issue.1, pp.63-86, 2004. ,
DOI : 10.1023/B:VISI.0000027790.02288.f2
URL : https://hal.archives-ouvertes.fr/inria-00548554
A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005. ,
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548227
Fourier implementation of Poisson image editing, Pattern Recognition Letters, vol.33, issue.3, pp.342-348, 2012. ,
DOI : 10.1016/j.patrec.2011.10.010
ASIFT: A New Framework for Fully Affine Invariant Image Comparison, SIAM Journal on Imaging Sciences, vol.2, issue.2, pp.438-469, 2009. ,
DOI : 10.1137/080732730
URL : http://www.cmap.polytechnique.fr/~yu/publications/ASIFT_SIIMS_final.pdf
Is SIFT scale invariant?, Inverse Problems and Imaging, vol.5, issue.1, pp.115-136, 2011. ,
DOI : 10.3934/ipi.2011.5.115
URL : http://www.aimsciences.org/journals/doIpChk.jsp?paperID=5928&mode=full
Pattern Theory: The Stochastic Analysis of Real- World Signals, A K Peters, 2010. ,
An A Contrario Decision Method for Shape Element Recognition, International Journal of Computer Vision, vol.21, issue.11, pp.69-295, 2006. ,
DOI : 10.1007/s11263-006-7546-0
Introductory lectures on convex optimization: A basic course, 2004. ,
DOI : 10.1007/978-1-4419-8853-9
What Do Features Tell about Images?, Scale-Space, pp.39-50, 2001. ,
DOI : 10.1007/3-540-47778-0_4
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.971-987, 2002. ,
DOI : 10.1109/TPAMI.2002.1017623
URL : http://www.ee.oulu.fi/research/imag/texture/publications/show_pdf.php?ID=94
Poisson Image Editing, ACM SIGGRAPH 2003 Papers, SIGGRAPH '03, pp.313-318, 2003. ,
Object retrieval with large vocabularies and fast spatial matching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383172
Anatomy of the SIFT Method, Image Processing On Line, vol.4, pp.370-396, 2014. ,
URL : https://hal.archives-ouvertes.fr/tel-01226489
Machine Learning for High-Speed Corner Detection, Computer Vision?ECCV 2006, pp.430-443, 2006. ,
DOI : 10.1109/ICNN.1995.489004
URL : http://mi.eng.cam.ac.uk/~er258/work/rosten_2006_machine.ps.gz
Theorems and experiments on image reconstruction from zero crossings, 1987. ,
Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1470-1477, 2003. ,
DOI : 10.1109/ICCV.2003.1238663
Local invariant feature detectors: a survey, Foundations and trends in computer graphics and vision, pp.177-280, 2008. ,
Matching Widely Separated Views Based on Affine Invariant Regions, International Journal of Computer Vision, vol.59, issue.1, pp.61-85, 2004. ,
DOI : 10.1023/B:VISI.0000020671.28016.e8
Vlfeat, Proceedings of the international conference on Multimedia, MM '10, pp.1469-1472, 2010. ,
DOI : 10.1145/1873951.1874249
HOGgles: Visualizing Object Detection Features, 2013 IEEE International Conference on Computer Vision, pp.1-8, 2013. ,
DOI : 10.1109/ICCV.2013.8
URL : http://people.csail.mit.edu/tomasz/papers/vondrick_iccv2013.pdf
Recognition with local features: the kernel recipe, Proceedings Ninth IEEE International Conference on Computer Vision, pp.257-264, 2003. ,
DOI : 10.1109/ICCV.2003.1238351
URL : http://lear.inrialpes.fr/people/triggs/events/iccv03/cdrom/iccv03/0257_wallraven.pdf
Reconstructing an image from its local descriptors, CVPR 2011, pp.337-344, 2011. ,
DOI : 10.1109/CVPR.2011.5995616
URL : https://hal.archives-ouvertes.fr/inria-00566718
Robust Video Stabilization Based on Particle Filter Tracking of Projected Camera Motion, IEEE Transactions on Circuits and Systems for Video Technology, vol.19, issue.7, pp.945-954, 2009. ,
DOI : 10.1109/TCSVT.2009.2020252
Object tracking, ACM Computing Surveys, vol.38, issue.4, p.13, 2006. ,
DOI : 10.1145/1177352.1177355
Visualizing and Understanding Convolutional Networks, Proceedings of ECCV, pp.818-833, 2014. ,
DOI : 10.1007/978-3-319-10590-1_53
URL : http://cs.nyu.edu/%7Efergus/papers/zeilerECCV2014.pdf
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.73-213, 2007. ,
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/hal-00171412
Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling, International Journal of Computer Vision, vol.27, issue.2, pp.107-126, 1998. ,
DOI : 10.1023/A:1007925832420