N. J. Mitra, M. Pauly, M. Wand, and D. Ceylan, Symmetry in 3D Geometry: Extraction and Applications, Computer Graphics Forum, vol.3, issue.9, pp.1-23, 2013.
DOI : 10.1109/34.476508
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.5113

M. Pauly, N. J. Mitra, J. Wallner, H. Pottmann, and L. J. Guibas, Discovering structural regularity in 3d geometry, Proc SIGGRAPH'08, pp.431-4311, 2008.
DOI : 10.1145/1399504.1360642
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3002787

A. Buades, B. Coll, and J. Morel, A Non-Local Algorithm for Image Denoising, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.60-65, 2005.
DOI : 10.1109/CVPR.2005.38
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.9157

E. Shechtman and M. Irani, Matching Local Self-Similarities across Images and Videos, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383198
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.76.1297

S. Yoshizawa, A. Belyaev, and H. Seidel, Smoothing by Example: Mesh Denoising by Averaging with Similarity-Based Weights, IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06), p.9, 2006.
DOI : 10.1109/SMI.2006.38

J. Digne, Similarity based filtering of point clouds, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.73-79, 2012.
DOI : 10.1109/CVPRW.2012.6238917
URL : https://hal.archives-ouvertes.fr/hal-01098019

A. Hamdi-cherif, J. Digne, and R. Chaine, Super-resolution of point set surfaces using local similarities, " to appear in Computer Graphics Forum, 2017.

T. Guillemot, A. Almansa, and T. Boubekeur, Non Local Point Set Surfaces, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, pp.324-331, 2012.
DOI : 10.1109/3DIMPVT.2012.71
URL : https://hal.archives-ouvertes.fr/hal-01117141

A. Sharf, M. Alexa, and D. Cohen-or, Context-based surface completion, ACM Transactions on Graphics, vol.23, issue.3, pp.878-887, 2004.
DOI : 10.1145/1015706.1015814
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.411.369

Q. Zheng, A. Sharf, G. Wan, Y. Li, N. J. Mitra et al., Non-local scan consolidation for 3d urban scenes, Proc. SIGGRAPH 10, 2010.
DOI : 10.1145/1833351.1778831
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.2772

M. Aharon, M. Elad, and A. Bruckstein, k -svd: An algorithm for designing overcomplete dictionaries for sparse representation, IEEE Transactions on Signal Processing, vol.54, 2006.
DOI : 10.1109/tsp.2006.881199

J. Mairal, F. Bach, J. Ponce, and G. Sapiro, Online dictionary learning for sparse coding, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.689-696, 2009.
DOI : 10.1145/1553374.1553463
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.184.5417

S. Xiong, J. Zhang, J. Zheng, J. Cai, and L. Liu, Robust surface reconstruction via dictionary learning, Proc. SIGGRAPH Asia 2014, 2014.
DOI : 10.3934/ipi.2011.5.237

R. Litman, A. Bronstein, M. Bronstein, and U. Castellani, Supervised learning of bag-of-features shape descriptors using sparse coding, Computer Graphics Forum, vol.10, issue.1, pp.127-136, 2014.
DOI : 10.1007/s00371-010-0519-x

J. Digne, R. Chaine, and S. Valette, Self-similarity for accurate compression of point sampled surfaces, Computer Graphics Forum, vol.10, issue.3, pp.155-164, 2014.
DOI : 10.1016/j.cag.2012.03.032
URL : https://hal.archives-ouvertes.fr/hal-00983003

L. Xu, R. Wang, J. Zhang, Z. Yang, J. Deng et al., Survey on sparsity in geometric modeling and processing, Graphical Models, vol.82, pp.160-180, 2015.
DOI : 10.1016/j.gmod.2015.06.012

. Seidel, Differential coordinates for interactive mesh editing, Proc. SMI, pp.181-190, 2004.

. Seidel, Laplacian surface editing, Proc. SGP 2004), pp.179-188, 2004.

R. Wang, L. Liu, Z. Yang, K. Wang, W. Shan et al., Construction of Manifolds via Compatible Sparse Representations, ACM Transactions on Graphics, vol.35, issue.2, pp.141-1410, 2016.
DOI : 10.1145/1015706.1015714

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

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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.180.2535

F. Tombari, S. Salti, and L. D. Stefano, Unique Signatures of Histograms for Local Surface Description, IEEE European Conference on Computer Vision, pp.356-369, 2010.
DOI : 10.1007/978-3-642-15558-1_26

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

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

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. Sun, M. Ovsjanikov, and L. Guibas, A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion, Proc. SGP 2009), pp.1383-1392, 2009.
DOI : 10.1080/10586458.1993.10504266
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.2592

N. Li, S. Wang, M. Zhong, Z. Su, and H. Qin, Generalized Local-to-Global Shape Feature Detection Based on Graph Wavelets, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.9, pp.2094-2106, 2016.
DOI : 10.1109/TVCG.2015.2498557

A. M. Bronstein, M. M. Bronstein, L. J. Guibas, and M. Ovsjanikov, Shape google, ACM Transactions on Graphics, vol.30, issue.1, pp.1-20, 2011.
DOI : 10.1145/1899404.1899405

O. Mattausch, D. Panozzo, C. Mura, O. Sorkine-hornung, and R. Pajarola, Object detection and classification from large-scale cluttered indoor scans, Computer Graphics Forum, vol.31, issue.2, pp.11-21, 2014.
DOI : 10.1145/2366145.2366155

L. Wei, Q. Huang, D. Ceylan, E. Vouga, and H. Li, Dense Human Body Correspondences Using Convolutional Networks, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1511.
DOI : 10.1109/CVPR.2016.171
URL : http://arxiv.org/abs/1511.05904

D. Boscaini, J. Masci, E. , and M. M. Bronstein, Learning shape correspondence with anisotropic convolutional neural networks, 1605.

H. Huang, D. Li, H. Zhang, U. Ascher, and D. Cohen-or, Consolidation of unorganized point clouds for surface reconstruction Edge-aware point set resampling, ACM Transactions on Graphics ACM Transactions on Graphics, vol.28, issue.32 1 9, pp.1-176, 2009.

Y. Lipman, D. Cohen-or, D. Levin, and H. Tal-ezer, Parameterization-free projection for geometry reconstruction, ACM Transactions on Graphics, vol.26, 2007.
DOI : 10.1145/1239451.1239473
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.1528

H. Huang, D. Li, H. Zhang, U. Ascher, and D. Cohen-or, Consolidation of unorganized point clouds for surface reconstruction, SIGGRAPH Asia, pp.1-176, 2009.

M. Alexa, J. Behr, D. Cohen-or, S. Fleishman, D. Levin et al., Point set surfaces, Proceedings Visualization, 2001. VIS '01., pp.21-28, 2001.
DOI : 10.1109/VISUAL.2001.964489

N. Amenta and Y. J. , Defining point-set surfaces, SIG- GRAPH '04, pp.264-270, 2004.
DOI : 10.1145/1015706.1015713
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.9805

S. Fleishman, D. Cohen-or, and C. T. Silva, Robust moving least-squares fitting with sharp features, ACM Transactions on Graphics, vol.24, issue.3, pp.544-552, 2005.
DOI : 10.1145/1073204.1073227

G. Guennebaud and M. Gross, Algebraic point set surfaces, ACM Transactions on Graphics, vol.26, 2007.
DOI : 10.1145/1239451.1239474
URL : https://hal.archives-ouvertes.fr/inria-00354998

A. C. Oztireli, G. Guennebaud, and M. Gross, Feature Preserving Point Set Surfaces based on Non-Linear Kernel Regression, Computer Graphics Forum, vol.16, issue.2, pp.493-501, 2009.
DOI : 10.1111/j.1467-8659.2009.01388.x
URL : https://hal.archives-ouvertes.fr/inria-00354969

S. Wu, H. Huang, M. Gong, M. Zwicker, and D. Cohen-or, Deep points consolidation, ACM Transactions on Graphics, vol.34, issue.6, pp.1-17613, 2015.
DOI : 10.1145/2816795.2818073

R. Wang, Z. Yang, L. Liu, J. Deng, and F. Chen, -analysis compressed sensing, ACM Transactions on Graphics, vol.33, issue.2, pp.1-1812, 2014.
DOI : 10.1109/TVCG.2010.264
URL : https://hal.archives-ouvertes.fr/hal-00787126

Y. Sun, S. Schaefer, and W. Wang, Denoising point sets via L 0 minimization, geometric Modeling and Processing 2015, pp.2-15, 2015.

H. Zhang, C. Wu, J. Zhang, and J. Deng, Variational Mesh Denoising Using Total Variation and Piecewise Constant Function Space, IEEE Transactions on Visualization and Computer Graphics, vol.21, issue.7, pp.873-886, 2015.
DOI : 10.1109/TVCG.2015.2398432

X. Lu, Z. Deng, and W. Chen, A Robust Scheme for Feature-Preserving Mesh Denoising, IEEE Transactions on Visualization and Computer Graphics, vol.22, issue.3, pp.1181-1194, 2016.
DOI : 10.1109/TVCG.2015.2500222

M. Wei, J. Yu, W. M. Pang, J. Wang, J. Qin et al., Bi-Normal Filtering for Mesh Denoising, IEEE Transactions on Visualization and Computer Graphics, vol.21, issue.1, pp.43-55, 2015.
DOI : 10.1109/TVCG.2014.2326872

P. J. Besl and N. D. Mckay, A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, pp.239-256, 1992.
DOI : 10.1109/34.121791

J. Mairal, F. Bach, J. Ponce, and G. Sapiro, Online learning for matrix factorization and sparse coding, J. Mach. Learn. Res, vol.11, pp.19-60, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00408716

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, Least angle regression, Annals of Statistics, vol.32, pp.407-499, 2004.

M. Kazhdan and H. Hoppe, Screened poisson surface reconstruction, ACM Transactions on Graphics, vol.32, issue.3, 2013.
DOI : 10.1145/2487228.2487237
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.298.6842

H. Hoppe, T. Derose, T. Duchamp, J. Mcdonald, and W. Stuetzle, Surface reconstruction from unorganized points, SIGGRAPH '92, pp.71-78, 1992.
DOI : 10.1145/133994.134011
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.4735

M. Elad and M. Aharon, Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries, IEEE Transactions on Image Processing, vol.15, issue.12, pp.3736-3745, 2006.
DOI : 10.1109/TIP.2006.881969
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.6477

S. Fleishman, I. Drori, and D. Cohen-or, Bilateral mesh denoising, ACM Transactions on Graphics, vol.22, issue.3, pp.950-953, 2003.
DOI : 10.1145/882262.882368
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.3578