S. Agarwal, Y. Furukawa, N. Snavely, I. Simon, S. M. Curless et al., Building Rome in a day, Communications of the ACM, vol.54, issue.10, pp.105-112, 2011.
DOI : 10.1145/2001269.2001293

D. G. Aliaga, P. A. Rosen, and D. R. Bekins, Style grammars for interactive visualization of architecture. Visualization and Computer Graphics, IEEE Transactions on, vol.13, issue.4, 2007.

B. Amberg, S. Romdhani, and T. Vetter, Optimal Step Nonrigid ICP Algorithms for Surface Registration, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383165

?. M. Aubry, N. Andreetto, G. M. Brusco, and . Cortelazzo, Representing 3D models for alignment and recognition Automatic 3d modeling of textured cultural heritage objects, Image Processing IEEE Transactions on, vol.13, issue.3, pp.354-369, 2004.

M. Andreux, E. Rodola, M. Aubry, and D. Cremers, Anisotropic Laplace-Beltrami Operators for Shape Analysis, Sixth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), ECCV, 2014.
DOI : 10.1007/978-3-319-16220-1_21

URL : https://hal.archives-ouvertes.fr/hal-01057244

R. Arandjelovic and A. Zisserman, Smooth object retrieval using a bag of boundaries, 2011 International Conference on Computer Vision, pp.375-382, 2011.
DOI : 10.1109/ICCV.2011.6126265

J. Assfalg, M. Bertini, A. D. Bimbo, and P. Pala, Content-Based Retrieval of 3-D Objects Using Spin Image Signatures, IEEE Transactions on Multimedia, vol.9, issue.3, pp.589-599, 2007.
DOI : 10.1109/TMM.2006.886271

M. Aubry, K. Kolev, B. Goldluecke, and D. Cremers, Decoupling photometry and geometry in dense variational camera calibration, 2011 International Conference on Computer Vision, pp.1411-1418, 2011.
DOI : 10.1109/ICCV.2011.6126396

M. Aubry, D. Maturana, A. A. Efros, B. C. Russell, and J. Sivic, Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.487

URL : https://hal.archives-ouvertes.fr/hal-01057240

M. Aubry, S. Paris, S. Hasinoff, J. Kautz, and F. Durand, Fast Local Laplacian Filters, ACM Transactions on Graphics, vol.33, issue.5, 2014.
DOI : 10.1145/2070781.2024208

URL : https://hal.archives-ouvertes.fr/hal-01063419

M. Aubry, S. Paris, S. W. Hasinoff, and F. Durand, Fast and robust pyramidbased image processing, 2011.

?. M. Aubry, Representing 3D models for alignment and recognition ?
URL : https://hal.archives-ouvertes.fr/tel-01160300

M. Aubry, B. Russel, and J. Sivic, Painting-to-3D model alignment via discriminative visual elements, ACM Transactions on Graphics, vol.33, issue.2, 2014.
DOI : 10.1561/0600000009

URL : https://hal.archives-ouvertes.fr/hal-00863615

M. Aubry, B. Russel, and J. Sivic, Visual Geo-localization of Non-photographic Depictions via 2D???3D Alignment
DOI : 10.1007/978-3-642-15561-1_19

URL : https://hal.archives-ouvertes.fr/hal-01119203

M. Aubry, B. C. Russell, and J. Sivic, Where was this picture painted?-localizing paintings by alignment to 3d models, Actes de la conférence RFIA, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00988830

M. Aubry, U. Schlickewei, and D. Cremers, Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor, Pattern Recognition, pp.122-131, 2011.
DOI : 10.1007/978-3-642-23123-0_13

M. Aubry, U. Schlickewei, and D. Cremers, The wave kernel signature: A quantum mechanical approach to shape analysis, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.1626-1633, 2011.
DOI : 10.1109/ICCVW.2011.6130444

G. Baatz, O. Saurer, K. Köser, and M. Pollefeys, Large scale visual geolocalization of images in mountainous terrain, Proceedings of the European Conference on Computer Vision, 2012.

L. Baboud, M. Cadik, E. Eisemann, and H. Seidel, Automatic photo-toterrain alignment for the annotation of mountain pictures, Proceedings of the conference on Computer Vision and Pattern Recognition, 2011.

F. Bach and Z. Harchaoui, Diffrac : a discriminative and flexible framework for clustering, Advances in Neural Information Processing Systems, 2008.

S. Bae, A. Agarwala, and F. Durand, Computational rephotography, ACM Transactions on Graphics, vol.29, issue.3, 2010.
DOI : 10.1145/1805964.1805968

URL : http://dspace.mit.edu/bitstream/1721.1/53705/1/MIT-CSAIL-TR-2010-016.pdf

?. M. Aubry, Representing 3D models for alignment and recognition ?
URL : https://hal.archives-ouvertes.fr/tel-01160300

L. Ballan, G. J. Brostow, J. Puwein, and M. Pollefeys, Unstructured video-based rendering: Interactive exploration of casually captured videos, Proc. SIGGRAPH), 2010.

H. Bay, A. Ess, T. Tuytelaars, and L. Van-gool, Speeded-up robust features (SURF), pp.346-359, 2008.
DOI : 10.1016/j.cviu.2007.09.014

URL : http://www.cs.jhu.edu/%7Emisha/ReadingSeminar/Papers/Bay08.pdf

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

P. J. Besl and N. D. Mckay, A method for registration of 3-D shapes, Robotics- DL tentative International Society for Optics and Photonics, pp.586-606, 1992.
DOI : 10.1109/34.121791

C. M. Bishop, Pattern Recognition and Machine Learning, 2006.

A. Blake and M. Isard, Active Contours, 1998.
DOI : 10.1007/978-1-4471-1555-7

F. Bosché, Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction, Advanced Engineering Informatics, vol.24, issue.1, pp.107-118, 2010.
DOI : 10.1016/j.aei.2009.08.006

A. Bronstein, M. Bronstein, U. Castellani, A. Dubrovina, L. Guibas et al., robust correspondence benchmark, Eurographics Workshop on 3D Object Retrieval (3DOR'10), 2010.

A. M. Bronstein, M. M. Bronstein, L. J. Guibas, and M. Ovsjanikov, Shape google, ACM Transactions on Graphics, vol.30, issue.1, p.1, 2011.
DOI : 10.1145/1899404.1899405

A. M. Bronstein, M. M. Bronstein, R. Kimmel, M. Mahmoudi, and G. Sapiro, A Gromov-Hausdorff Framework with Diffusion Geometry for??Topologically-Robust Non-rigid Shape Matching, International Journal of Computer Vision, vol.9, issue.2, pp.266-286, 2010.
DOI : 10.1007/978-3-662-05105-4_2

A. M. Bronstein, M. M. Bronstein, and R. Kimmel, Efficient Computation of Isometry???Invariant Distances Between Surfaces, SIAM Journal on Scientific Computing, vol.28, issue.5, pp.1812-1836, 2006.
DOI : 10.1137/050639296

M. M. Bronstein and I. Kokkinos, Scale-invariant heat kernel signatures for nonrigid shape recognition, Proceedings of the conference on Computer Vision and Pattern Recognition, pp.1704-1711, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00859448

B. J. Brown and S. Rusinkiewicz, Global non-rigid alignment of 3-D scans, ACM Transactions on Graphics, vol.26, issue.3, p.21, 2007.
DOI : 10.1145/1276377.1276404

M. Calonder, V. Lepetit, C. Strecha, and P. Fua, BRIEF: Binary Robust Independent Elementary Features, Proceedings of the European Conference on Computer Vision, pp.778-792, 2010.
DOI : 10.1007/978-3-642-15561-1_56

J. Canny, A computational approach to edge detection, IEEE Transactions Pattern Analysis and Machine Intelligence, issue.6, pp.679-698, 1986.

Y. Chen and G. Medioni, Object modelling by registration of multiple range images, Image and Vision Computing, vol.10, issue.3, pp.145-155, 1992.
DOI : 10.1016/0262-8856(92)90066-C

W. Choi, Y. Chao, C. Pantofaru, and S. Savarese, Understanding Indoor Scenes Using 3D Geometric Phrases, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.12

URL : http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Choi_Understanding_Indoor_Scenes_2013_CVPR_paper.pdf

?. M. Aubry, Representing 3D models for alignment and recognition ?
URL : https://hal.archives-ouvertes.fr/tel-01160300

C. S. Chua and R. Jarvis, Point signatures: A new representation for 3D object recognition, International Journal of Computer Vision, vol.25, issue.1, pp.63-85, 1997.
DOI : 10.1023/A:1007981719186

O. Chum and J. Matas, Geometric Hashing with Local Affine Frames, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.125

O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman, Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408891

E. J. Crowley and A. Zisserman, In Search of Art, Workshop on Computer Vision for Art Analysis, ECCV, 2014.
DOI : 10.1007/978-3-319-16178-5_4

G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray, Visual categorization with bags of keypoints, Workshop on statistical learning in computer vision, ECCV, pp.1-2, 2004.

N. Dalal and B. Triggs, 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

T. Dean, M. Ruzon, M. Segal, J. Shlens, S. Vijayanarasimhan et al., Fast, Accurate Detection of 100,000 Object Classes on a Single Machine, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.237

P. E. Debevec, C. J. Taylor, and J. Malik, Modeling and rendering architecture from photographs, Proceedings of the 23rd annual conference on Computer graphics and interactive techniques , SIGGRAPH '96, 1996.
DOI : 10.1145/237170.237191

URL : http://www.cs.cmu.edu/~seitz/course/SIGG99/papers/debevec-intro.pdf

L. Del-pero, J. Bowdish, B. Kermgard, E. Hartley, and K. Barnard, Understanding Bayesian Rooms Using Composite 3D Object Models, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.153-160, 2013.
DOI : 10.1109/CVPR.2013.27

J. Deng, W. Dong, R. Socher, L. Li, K. Li et al., Imagenet: A largescale hierarchical image database, Proceedings of the conference on Computer Vision and Pattern Recognition, pp.248-255, 2009.

C. Doersch, S. Singh, A. Gupta, J. Sivic, and A. A. Efros, What makes paris look like paris?, Proc. SIGGRAPH), pp.31-2012
URL : https://hal.archives-ouvertes.fr/hal-01248528

A. Elad and R. Kimmel, On bending invariant signatures for surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.10, pp.1285-1295, 2003.
DOI : 10.1109/TPAMI.2003.1233902

M. Everingham, L. Van-gool, C. K. Williams, J. Winn, and A. Zisserman, The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, pp.303-338, 2010.
DOI : 10.1371/journal.pcbi.0040027

R. Fan, K. Chang, C. Hsieh, X. Wang, and C. Lin, Liblinear: A library for large linear classification, Journal of Machine Learning Research, vol.9, issue.1, pp.1871-1874, 2008.

O. Faugeras and R. Keriven, Complete dense stereovision using level set methods, Proceedings of the European Conference on Computer Vision, pp.379-393
DOI : 10.1007/BFb0055679

URL : http://cermics.enpc.fr/~keriven/eccv98.ps.gz

P. F. Felzenszwalb, R. Girshick, D. Mcallester, and D. Ramanan, 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

F. Pedro, . Felzenszwalb, P. Daniel, and . Huttenlocher, Pictorial structures for object recognition, International Journal of Computer Vision, vol.61, issue.1, pp.55-79, 2005.

S. Fidler, S. Dickinson, and R. Urtasun, 3d object detection and viewpoint estimation with a deformable 3d cuboid model, Advances in Neural Information Processing Systems, pp.611-619, 2012.

M. A. Fischler and R. C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and

A. Martin, . Fischler, A. Robert, and . Elschlager, The representation and matching of pictorial structures, IEEE Transactions on Computers, vol.22, issue.1, pp.67-92, 1973.

N. H. Fletcher and T. D. Rossing, The physics of musical instruments, 1998.

W. T. Freeman and E. H. Adelson, The design and use of steerable filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.9, pp.891-906, 1991.
DOI : 10.1109/34.93808

A. Frome, Y. Singer, F. Sha, and J. Malik, Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408839

Y. Furukawa, B. Curless, S. M. Seitz, and R. Szeliski, Towards Internet-scale multi-view stereo, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539802

Y. Furukawa and J. Ponce, Accurate, Dense, and Robust Multiview Stereopsis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.8, pp.1362-1376, 2010.
DOI : 10.1109/TPAMI.2009.161

URL : http://www.ece.wisc.edu/~facerec/cameranet/accurate_dense_robust_multiview_stereopsis__furukawa_0278.pdf

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 169

R. Gal, A. Shamir, and D. Cohen-or, Pose-Oblivious Shape Signature, IEEE Transactions on Visualization and Computer Graphics, vol.13, issue.2, pp.261-271, 2007.
DOI : 10.1109/TVCG.2007.45

N. Gelfand, N. Mitra, L. J. Guibas, and H. Pottmann, Robust global registration, Symposium on geometry processing, p.5, 2005.

M. Gharbi, T. Malisiewicz, S. Paris, and F. Durand, A Gaussian approximation of feature space for fast image similarity, p.2012

G. Gilboa, N. A. Sochen, and Y. Y. Zeevi, Image enhancement and denoising by complex diffusion processes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.8, pp.1020-1036, 2004.
DOI : 10.1109/TPAMI.2004.47

URL : http://visl.technion.ac.il/~gilboa/pub/PAMI_cmplx04_GSZ.pdf

R. Girshick, J. Donahue, T. Darrell, and J. Malik, Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.81

D. Glasner, M. Galun, S. Alpert, R. Basri, and G. Shakhnarovich, Viewpointaware object detection and pose estimation, Proceedings of International Conference on Computer Vision, pp.1275-1282, 2011.
DOI : 10.1109/iccv.2011.6126379

URL : http://www.ai.mit.edu/people/gregory/papers/iccv2011.pdf

B. Goldlücke, M. Aubry, K. Kolev, and D. Cremers, A Super-Resolution Framework for High-Accuracy Multiview Reconstruction, International Journal of Computer Vision, vol.13, issue.4, pp.172-191, 2014.
DOI : 10.1109/TPAMI.2007.1035

M. Gromov, Structures métriques pour les variétés riemanniennes, Textes Mathématiques [Mathematical Texts], vol.1, 1981.

A. Gupta, A. A. Efros, and M. Hebert, Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics, Proceedings of the European Conference on Computer Vision, pp.482-496, 2010.
DOI : 10.1007/978-3-642-15561-1_35

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 170

S. Gupta, R. Girshick, P. Arbelaez, and J. Malik, Learning Rich Features from RGB-D Images for Object Detection and Segmentation, Proceedings of the European Conference on Computer Vision, 2014.
DOI : 10.1007/978-3-319-10584-0_23

B. Hariharan, J. Malik, and D. Ramanan, Discriminative Decorrelation for Clustering and Classification, Proceedings of the European Conference on Computer Vision, 2012.
DOI : 10.1007/978-3-642-33765-9_33

C. Harris and M. Stephens, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, p.50, 1988.
DOI : 10.5244/C.2.23

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

D. C. Hauagge and N. Snavely, Image matching using local symmetry features, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6247677

URL : http://www.cs.cornell.edu/projects/symfeat/downloads/symfeat_cvpr2012.pdf

M. Hejrati and D. Ramanan, Analyzing 3d objects in cluttered images, Advances in Neural Information Processing Systems, pp.593-601, 2012.

L. Hörmander, The spectral function of an elliptic operator, Acta Mathematica, vol.121, issue.0, pp.193-218, 1968.
DOI : 10.1007/BF02391913

Q. Huang, F. Wang, and L. Guibas, Functional map networks for analyzing and exploring large shape collections, ACM Transactions on Graphics, vol.33, issue.4, p.2014
DOI : 10.1111/j.1467-9868.2005.00532.x

Q. Huang, B. Adams, M. Wicke, and L. J. Guibas, Non-Rigid Registration Under Isometric Deformations, Computer Graphics Forum, vol.26, issue.3, pp.1449-1457, 2008.
DOI : 10.1109/34.387502

URL : https://lirias.kuleuven.be/bitstream/123456789/244118/1/huang-sgp08.pdf

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 171

D. P. Huttenlocher and S. Ullman, Recognizing solid objects by alignment with an image, International Journal of Computer Vision, vol.35, issue.3, pp.195-212, 1990.
DOI : 10.1007/BF00054921

A. Irschara, C. Zach, J. Frahm, and H. Bischof, From structure-from-motion point clouds to fast location recognition, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206587

S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. Newcombe et al., Kinectfusion: Realtime 3d reconstruction and interaction using a moving depth camera, ACM Symposium on User Interface Software and Technology, 2011.

C. L. Jackins and S. L. Tanimoto, Oct-trees and their use in representing three-dimensional objects, Computer Graphics and Image Processing, vol.14, issue.3, pp.249-270, 1980.
DOI : 10.1016/0146-664X(80)90055-6

A. Jain, A. Gupta, M. Rodriguez, and L. S. Davis, Representing Videos Using Mid-level Discriminative Patches, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.332

URL : http://www.umiacs.umd.edu/~ajain/ResearchPapers/midlevelvideorep.pdf

A. Johnson, Spin-Images: A Representation for 3-D Surface Matching, 1997.

A. E. Johnson and M. Hebert, Using spin images for efficient object recognition in cluttered 3D scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.5, pp.433-449, 1999.
DOI : 10.1109/34.765655

?. M. Aubry, Representing 3D models for alignment and recognition ?
URL : https://hal.archives-ouvertes.fr/tel-01160300

M. Juneja, A. Vedaldi, C. V. Jawahar, and A. Zisserman, Blocks That Shout: Distinctive Parts for Scene Classification, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.124

M. Kac, Can one hear the shape of a drum?, American Mathematical Monthly, pp.1-23, 1966.

T. Kailath, The Divergence and Bhattacharyya Distance Measures in Signal Selection, IEEE Transactions on Communications, vol.15, issue.1, pp.52-60, 1967.
DOI : 10.1109/TCOM.1967.1089532

Y. Ke and R. Sukthankar, Pca-sift: A more distinctive representation for local image descriptors, Proceedings of the conference on Computer Vision and Pattern Recognition, p.506, 2004.

N. Kholgade, T. Simon, A. Efros, and Y. Sheikh, 3D object manipulation in a single photograph using stock 3D models, ACM Transactions on Graphics, vol.33, issue.4, p.2014
DOI : 10.1111/j.1467-9868.2005.00503.x

V. G. Kim, Y. Lipman, and T. Funkhouser, Blended intrinsic maps, In ACM Transactions on Graphics, vol.30, p.79, 2011.
DOI : 10.1145/1964921.1964974

O. Kin-chung-au, C. Tai, D. Cohen-or, Y. Zheng, and H. Fu, Electors Voting for Fast Automatic Shape Correspondence, Computer Graphics Forum, vol.27, issue.5, pp.645-654, 2010.
DOI : 10.1111/j.1467-8659.2008.01190.x

I. Kokkinos, M. M. Bronstein, R. Litman, and A. M. Bronstein, Intrinsic shape context descriptors for deformable shapes, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.159-166, 2012.
DOI : 10.1109/CVPR.2012.6247671

URL : https://hal.archives-ouvertes.fr/hal-00857572

?. M. Aubry, Representing 3D models for alignment and recognition ?
URL : https://hal.archives-ouvertes.fr/tel-01160300

K. Kolev, P. Tanskanen, P. Speciale, and M. Pollefeys, Turning Mobile Phones into 3D Scanners, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.504

J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-or et al., Deep photo: Model-based photograph enhancement and viewing, ACM Transactions on Graphics, vol.27, issue.5, 2008.

M. Körtgen, G. Park, M. Novotni, and R. Klein, 3d shape matching with 3d shape contexts, The 7th central European seminar on computer graphics, pp.5-17, 2003.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, ImageNet classification with deep convolutional neural networks, Advances in Neural Information Processing Systems, pp.1097-1105, 2012.
DOI : 10.1162/neco.2009.10-08-881

URL : http://dl.acm.org/ft_gateway.cfm?id=3065386&type=pdf

S. Lafon, Diffusion maps and geometric harmonics, 2004.

S. Lazebnik, C. Schmid, and J. Ponce, A sparse texture representation using local affine regions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1265-1278, 2005.
DOI : 10.1109/TPAMI.2005.151

URL : https://hal.archives-ouvertes.fr/inria-00548530

S. Lazebnik, C. Schmid, and J. Ponce, 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

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 174

Y. Lecun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard et al., Backpropagation Applied to Handwritten Zip Code Recognition, Neural Computation, vol.1, issue.4, pp.541-551, 1989.
DOI : 10.1007/BF00133697

Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, Gradient-based learning applied to document recognition, Proceedings of the IEEE, pp.2278-2324, 1998.
DOI : 10.1109/5.726791

G. Levin and P. Debevec, Rouen revisited ? interactive installation, 1999.

B. Lévy, Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry, IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06), p.13, 2006.
DOI : 10.1109/SMI.2006.21

Y. Li, N. Snavely, D. Huttenlocher, and P. Fua, Worldwide pose estimation using 3D point clouds, Proceedings of the European Conference on Computer Vision, 2012.
DOI : 10.1007/978-3-642-33718-5_2

URL : https://infoscience.epfl.ch/record/201014/files/global_pose.pdf

Z. Lian, A. Godil, T. Fabry, T. Furuya, J. Hermans et al., SHREC'10 Track: Non-rigid 3D Shape Retrieval, Eurographics 3DOR, 2010.
DOI : 10.1016/j.patcog.2012.07.014

J. J. Lim, H. Pirsiavash, and A. Torralba, Parsing IKEA Objects: Fine Pose Estimation, 2013 IEEE International Conference on Computer Vision, pp.2992-2999, 2013.
DOI : 10.1109/ICCV.2013.372

URL : http://people.csail.mit.edu/lim/paper/lpt_iccv2013.pdf

T. Lindeberg, Feature detection with automatic scale selection, International Journal of Computer Vision, vol.30, issue.2, pp.76-116, 1998.

Y. Lipman and T. Funkhouser, Möbius voting for surface correspondence, In ACM Transactions on Graphics, vol.28, p.72, 2009.

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 175

R. Litman and A. M. Bronstein, Learning Spectral Descriptors for Deformable Shape Correspondence, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.1, pp.171-180, 2014.
DOI : 10.1109/TPAMI.2013.148

D. 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://www.cs.ubc.ca/~lowe/papers/ijcv03.ps

D. G. Lowe, Three-dimensional object recognition from single two-dimensional images, Artificial Intelligence, vol.31, issue.3, pp.355-395, 1987.
DOI : 10.1016/0004-3702(87)90070-1

URL : http://www.cs.ubc.ca/~lowe/papers/aij87.pdf

T. Malisiewicz, A. Gupta, and A. A. Efros, Ensemble of exemplar-SVMs for object detection and beyond, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126229

J. Matas, O. Chum, M. Urban, and T. Pajdla, Robust wide-baseline stereo from maximally stable extremal regions, Image and Vision Computing, vol.22, issue.10, pp.761-767, 2004.
DOI : 10.1016/j.imavis.2004.02.006

F. Mémoli and G. Sapiro, A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data, Foundations of Computational Mathematics, vol.5, issue.3, pp.313-347, 2005.
DOI : 10.1007/s10208-004-0145-y

K. Mikolajczyk and C. Schmid, 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

K. Mikolajczyk and C. Schmid, 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

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 176

K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman, J. Matas et al., A Comparison of Affine Region Detectors, International Journal of Computer Vision, vol.65, issue.1-2, pp.43-72, 2005.
DOI : 10.1007/s11263-005-3848-x

URL : https://hal.archives-ouvertes.fr/inria-00548528

J. L. Mundy, Object Recognition in the Geometric Era: A Retrospective, Toward category-level object recognition, pp.3-28, 2006.
DOI : 10.1007/11957959_1

P. Musialski, P. Wonka, D. G. Aliaga, M. Wimmer, L. Van-gool et al., A Survey of Urban Reconstruction, Eurographics 2012-State of the Art Reports, 2012.
DOI : 10.1109/CVPR.2012.6247717

R. A. Newcombe, S. Lovegrove, and A. J. Davison, DTAM: Dense tracking and mapping in real-time, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126513

T. Ojala, M. Pietikäinen, and D. Harwood, A comparative study of texture measures with classification based on featured distributions, Pattern Recognition, vol.29, issue.1, pp.51-59, 1996.
DOI : 10.1016/0031-3203(95)00067-4

A. Oliva and A. Torralba, Modeling the shape of the scene: A holistic representation of the spatial envelope, International Journal of Computer Vision, vol.42, issue.3, pp.145-175, 2001.
DOI : 10.1023/A:1011139631724

A. Opelt, M. Fussenegger, A. Pinz, and P. Auer, Weak Hypotheses and Boosting for Generic Object Detection and Recognition, Proceedings of the European Conference on Computer Vision, pp.71-84, 2004.
DOI : 10.1007/978-3-540-24671-8_6

R. Osada, T. Funkhouser, B. Chazelle, and D. Dobkin, Shape distributions, ACM Transactions on Graphics, vol.21, issue.4, pp.807-832, 2002.
DOI : 10.1145/571647.571648

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 177

M. Ovsjanikov, M. Ben-chen, J. Solomon, A. Butscher, and L. Guibas, Functional maps, ACM Transactions on Graphics, vol.31, issue.4, p.30, 2012.
DOI : 10.1145/2185520.2185526

URL : https://hal.archives-ouvertes.fr/hal-01664767

M. Ovsjanikov, Q. Mérigot, F. Mémoli, and L. Guibas, One Point Isometric Matching with the Heat Kernel, Computer Graphics Forum, vol.27, issue.5, pp.1555-1564, 2010.
DOI : 10.1111/j.1467-8659.2008.01283.x

URL : https://hal.archives-ouvertes.fr/hal-00543885

B. Pepik, M. Stark, P. Gehler, and B. Schiele, Teaching 3D geometry to deformable part models, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.3362-3369, 2012.
DOI : 10.1109/CVPR.2012.6248075

P. Perona and J. Malik, Scale-space and edge detection using anisotropic diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.7, pp.629-639, 1990.
DOI : 10.1109/34.56205

URL : https://authors.library.caltech.edu/6498/1/PERieeetpami90.pdf

J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, Object retrieval with large vocabularies and fast spatial matching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383172

J. B. Rapp, A geometrical analysis of multiple viewpoint perspective in the work of

G. Battista and P. , an application of geometric restitution of perspective, The Journal of Architecture, vol.13, issue.6, 2008.

D. Raviv, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, Volumetric heat kernel signatures, Proceedings of the ACM workshop on 3D object retrieval, 3DOR '10, pp.39-44, 2010.
DOI : 10.1145/1877808.1877817

URL : http://www.cs.technion.ac.il/~ron/PAPERS/RavBroBroKim3DOR2010.pdf

F. Rellich, St??rungstheorie der Spektralzerlegung, Mathematische Annalen, vol.7, issue.1, pp.600-619, 1937.
DOI : 10.1007/BF01571652

?. M. Aubry, Representing 3D models for alignment and recognition ?
URL : https://hal.archives-ouvertes.fr/tel-01160300

L. G. Roberts, Machine perception of three-dimensional solids, 1963.

E. Rodoì-a, S. R. Buì, and D. Cremers, Robust region detection via consensus segmentation of deformable shapes, In Computer Graphics Forum, vol.33, pp.97-106, 2014.

F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints, International Journal of Computer Vision, vol.17, issue.5, pp.231-259, 2006.
DOI : 10.1007/s11263-005-3674-1

URL : https://hal.archives-ouvertes.fr/inria-00548618

B. C. Russell, J. Sivic, J. Ponce, and H. Dessales, Automatic alignment of paintings and photographs depicting a 3D scene, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.3-11, 2011.
DOI : 10.1109/ICCVW.2011.6130291

URL : https://hal.archives-ouvertes.fr/hal-01053879

R. M. Rustamov, Laplace-beltrami eigenfunctions for deformation invariant shape representation, Proceedings of the fifth Eurographics symposium on Geometry processing, pp.225-233, 2007.

J. J. Sakurai, Modern Quantum Mechanics, 1993.

S. Satkin, J. Lin, and M. Hebert, Data-Driven Scene Understanding from 3D Models, Procedings of the British Machine Vision Conference 2012, 2012.
DOI : 10.5244/C.26.128

URL : http://www.bmva.org/bmvc/2012/BMVC/paper128/paper128.pdf

T. Sattler, B. Leibe, and L. Kobbelt, Fast image-based localization using direct 2D-to-3D matching, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126302

F. Schaffalitzky and A. Zisserman, Multi-view Matching for Unordered Image Sets, or ???How Do I Organize My Holiday Snaps????, Proceedings of the European Conference on Computer Vision, pp.414-431, 2002.
DOI : 10.1007/3-540-47969-4_28

G. Schindler, M. Brown, and R. Szeliski, City-Scale Location Recognition, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383150

E. Schrödinger, Die gegenwärtige Situation in der Quantenmechanik, In Naturwissenschaften, 1935.

S. M. Seitz, B. Curless, J. Diebel, D. Scharstein, and R. Szeliski, A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.519-528, 2006.
DOI : 10.1109/CVPR.2006.19

S. Shalev-shwartz, Y. Singer, N. Srebro, and A. Cotter, Pegasos, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.3-30, 2011.
DOI : 10.1145/1273496.1273598

E. Shechtman and M. Irani, Matching Local Self-Similarities across Images and Videos, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383198

URL : http://www.wisdom.weizmann.ac.il/~vision/VideoAnalysis/Demos/SelfSimilarities/SelfSimilarities_ShechtmanIrani07.pdf

J. Shotton, R. Girshick, A. Fitzgibbon, T. Sharp, M. Cook et al., Efficient human pose estimation from single depth images, IEEE Transactions Pattern Analysis and Machine Intelligence, 2012.
DOI : 10.1109/tpami.2012.241

A. Shrivastava, T. Malisiewicz, A. Gupta, and A. A. Efros, Data-driven visual similarity for cross-domain image matching, Proc. SIGGRAPH Asia), p.30, 2011.
DOI : 10.1145/2070781.2024188

URL : http://www.cs.cmu.edu/%7Etmalisie/projects/sa11/shrivastava-sa11.pdf

?. M. Aubry, Representing 3D models for alignment and recognition ?
URL : https://hal.archives-ouvertes.fr/tel-01160300

L. Sifre and S. Mallat, Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.1233-1240, 2013.
DOI : 10.1109/CVPR.2013.163

URL : http://www.cmapx.polytechnique.fr/~sifre/research/cvpr_13_sifre_mallat_final.pdf

P. Y. Simard, D. Steinkraus, and J. C. Platt, Best practices for convolutional neural networks applied to visual document analysis, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.958-958, 2013.
DOI : 10.1109/ICDAR.2003.1227801

S. Singh, A. Gupta, and A. A. Efros, Unsupervised Discovery of Mid-Level Discriminative Patches, Proceedings of the European Conference on Computer Vision, 2012.
DOI : 10.1007/978-3-642-33709-3_6

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238663

N. Snavely, S. M. Seitz, and R. Szeliski, Photo tourism: Exploring photo collections in 3D, Proc. SIGGRAPH), 2006.

N. Snavely, S. M. Seitz, and R. Szeliski, Modeling the World from Internet Photo Collections, International Journal of Computer Vision, vol.17, issue.2, pp.189-210, 2008.
DOI : 10.1017/CBO9780511811685

H. Su, Q. Huang, N. J. Mitra, Y. Li, and L. Guibas, Estimating image depth using shape collections, Proc. SIGGRAPH), 2014.
DOI : 10.1109/TPAMI.2013.87

URL : http://vecg.cs.ucl.ac.uk/Projects/SmartGeometry/image_shape_net/paper_docs/imageShapeNet_small_sigg14.pdf

J. Sun, M. Ovsjanikov, and L. Guibas, A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion, Computer Graphics Forum, vol.21, issue.6, pp.1383-1392, 2009.
DOI : 10.1080/10586458.1993.10504266

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 181

R. Szeliski, Image Alignment and Stitching, pp.1-104, 2006.
DOI : 10.1007/0-387-28831-7_17

R. Szeliski and P. Torr, Geometrically Constrained Structure from Motion: Points on Planes, European Workshop on 3D Structure from Multiple Images of Large- Scale Environments (SMILE), 1998.
DOI : 10.1007/3-540-49437-5_12

G. K. Tam, Z. Cheng, Y. Lai, F. C. Langbein, Y. Liu et al., Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid, IEEE Transactions on Visualization and Computer Graphics, vol.19, issue.7, pp.1199-1217, 2013.
DOI : 10.1109/TVCG.2012.310

P. Tanskanen, K. Kolev, L. Meier, F. Camposeco, O. Saurer et al., Live Metric 3D Reconstruction on Mobile Phones, 2013 IEEE International Conference on Computer Vision, 2013.
DOI : 10.1109/ICCV.2013.15

O. Van-kaick, H. Zhang, G. Hamarneh, and D. Cohen-or, A Survey on Shape Correspondence, Computer Graphics Forum, vol.29, issue.6, pp.1681-1707
DOI : 10.1111/j.1467-8659.2010.01655.x

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001.
DOI : 10.1109/CVPR.2001.990517

T. Windheuser, U. Schlickewei, F. R. Schmidt, and D. Cremers, Geometrically consistent elastic matching of 3D shapes: A linear programming solution, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126489

?. M. Aubry, Representing 3D models for alignment and recognition ? BIBLIOGRAPHY 182

C. Wu, B. Clipp, X. Li, J. Frahm, and M. Pollefeys, 3D model matching with viewpoint invariant patches (VIPs), Proceedings of the conference on Computer Vision and Pattern Recognition, 2008.

Y. Xiang and S. Savarese, Estimating the aspect layout of object categories, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.3410-3417, 2012.
DOI : 10.1109/CVPR.2012.6248081

J. Xiao, B. Russell, and A. Torralba, Localizing 3d cuboids in single-view images, Advances in Neural Information Processing Systems, pp.746-754, 2012.

J. Yagnik, D. Strelow, D. Ross, and R. Lin, The power of comparative reasoning, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126527

L. Yang, J. Liu, and X. Tang, Object Detection and Viewpoint Estimation with Auto-masking Neural Network, Proceedings of the European Conference on Computer Vision, pp.441-455
DOI : 10.1007/978-3-319-10578-9_29

A. Zaharescu, E. Boyer, K. Varanasi, and R. Horaud, Surface feature detection and description with applications to mesh matching, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.373-380, 2009.
DOI : 10.1109/CVPR.2009.5206748

URL : https://hal.archives-ouvertes.fr/inria-00440407

J. Zhang, M. Marszaa-lek, S. Lazebnik, and C. Schmid, Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.213-238, 2007.
DOI : 10.1007/s11263-006-9794-4

URL : https://hal.archives-ouvertes.fr/inria-00548574

M. Z. Zia, M. Stark, B. Schiele, and K. Schindler, Detailed 3D Representations for Object Recognition and Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.11, pp.2608-2623, 2013.
DOI : 10.1109/TPAMI.2013.87

?. M. Aubry, Representing 3D models for alignment and recognition ?
URL : https://hal.archives-ouvertes.fr/tel-01160300