. [. Cohen-steiner-d, . Tong-y, and . Desbrun-m, Voronoi-based variational reconstruction of unoriented point sets, In SGP, issue.1, pp.39-48, 2007.

. [. Sharf-a, . Greif-c, and . D. Cohen-or, L1- sparse reconstruction of sharp point set surfaces, TOG), vol.29, issue.135 1, pp.1-13512, 2010.

]. Bal81 and . H. Ballard-d, Generalizing the Hough transform to detect arbitrary shapes, Pattern Recognition, vol.13, issue.2, pp.111-122, 1981.

. A. Boulch, . M. De-la-gorce, and . Marlet-r, Piecewiseplanar 3D reconstruction with edge and corner regularization, pp.55-64, 2014.
DOI : 10.1111/cgf.12431
URL : https://hal.archives-ouvertes.fr/hal-01099280

E. [. Lingemann-k and N. A. , The 3D Hough Transform for plane detection in point clouds: A review and a new accumulator design, 3D Research, vol.2, issue.2, p.3, 2011.

B. A. Marlet-r, Fast and robust normal estimation for point clouds with sharp features, pp.1765-1774, 2009.

B. A. and R. B. Gupta-a, Marr revisited: 2D-3D alignment via surface normal prediction, CVPR, 2016.

C. Labatut-p and P. , Robust piecewiseplanar 3D reconstruction and completion from large-scale unstructured point data, CVPR, pp.1261-1268, 2010.

]. Dav88 and . R. Davies-e, Application of the generalised Hough transform to corner detection. Computers and Digital Techniques, IEE Proceedings E, vol.135, issue.1 2, pp.49-54, 1988.

. [. Gianni-m, . Menna-m, and . Pirri-f, Point cloud segmentation and 3D path planning for tracked vehicles in cluttered and dynamic environments, 3rd IROS Workshop on Robots in Clutter: Perception and Interaction in Clutter, 2014.

D. [. Donahue-j and M. J. , Rich feature hierarchies for accurate object detection and semantic segmentation, CVPR (2014), pp.580-587

G. G. Gross-m, Algebraic point set surfaces, TOG), vol.26, issue.23 1, 2007.

. Hoppe-h, . Derose-t, . Duchamp-t, . Mcdonald-j, and . Stuetzle-w, Surface reconstruction from unorganized points, ACM SIGGRAPH Computer Graphics, vol.26, issue.2, pp.71-78, 1992.
DOI : 10.1145/142920.134011

L. D. Huang-h, A. U. Zhang-h, and . D. Cohen-or, Consolidation of unorganized point clouds for surface reconstruction, TOG), vol.28, issue.176 1, p.5, 2009.

. E. Hinton-g, K. A. Srivastava-n, . Sutskever-i, and . R. Salakhutdinov-r, Improving neural networks by preventing co-adaptation of feature detectors. preprint arXiv:1207, p.580, 2012.

J. W. and I. I. Seidel-h, Neural meshes: statistical learning based on normals, Pacific Conference on Computer Graphics & Applications (CGA), pp.404-408, 2003.

K. N. Eldar-y and . M. Bruckstein-a, A probabilistic Hough transform, Pattern Recognition, vol.24, issue.4, pp.303-316, 1991.

P. J. Kpw-*-10-]-knopp, . Willems-g, . Timofte-r, and . Van-gool-l, Hough transform and 3D SURF for robust three dimensional classification, ECCV, pp.589-602, 2010.

. [. Sutskever-i and . E. Hinton-g, Imagenet classification with deep convolutional neural networks, In NIPS, 2012.

L. Boser-b, D. J. , H. D. , H. R. Hubbard-w, and J. L. , Backpropagation applied to handwritten zip code recognition, Neural computation, vol.1, issue.2, pp.541-551, 1989.

L. B. Shen-c, . Dai-y, . Van-den, and . A. Hengel, Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs, CVPR (2015), pp.1119-1127

]. Lsd15b, . J. Long, and D. T. Shelhamer-e, Fully convolutional networks for semantic segmentation, CVPR, 2015.

L. B. Schnabel-r, . Klein-r, . Cheng-z, and J. S. Dang-g, Robust normal estimation for point clouds with sharp features, Computers & Graphics, vol.34, issue.7 9, pp.94-106, 2010.

. Liu-x, C. J. Zhang-j, and L. B. Liu-l, Quality point cloud normal estimation by guided least squares representation, Computers & Graphics, vol.51, issue.7 9, pp.106-116, 2015.
DOI : 10.1016/j.cag.2015.05.024

M. N. Nguyen-a and . Guibas-l, Estimating surface normals in noisy point cloud data, International Journal of Computational Geometry & Applications, vol.14, issue.1, pp.4-05, 2004.

Ö. A. Guennebaud-g and . H. Gross-m, Feature preserving point set surfaces based on non-linear kernel regression, pp.493-501, 2009.

C. [. Fleuret-f and G. D. , Improving Object Classification using Pose Information, 2012.

P. M. Keiser-r, . P. Kobbelt-l, and . Gross-m, Shape modeling with point-sampled geometry, TOG), vol.22, issue.3 1, pp.641-650, 2003.

[. J. Woodford-o, . Perbet-f, . Maki-a, . Stenger-b, and . Cipolla-r, A new distance for scale-invariant 3D shape recognition and registration, ICCV, pp.145-152, 2011.

E. P. Sez-*-14-]-sermanet, . Zhang-x, . Mathieu-m, . R. Fer-gus, and . Lecun-y, Overfeat: Integrated recognition, localization and detection using convolutional networks, ICLR, 2014.

. C. Slj-*-14-]-szegedy, J. Y. Liu-w, R. S. Sermanet-p, A. D. , E. D. Vanhoucke-v et al., Going deeper with convolutions, CVPR, 2014.

S. Y. Schaefer-s and W. W. , Denoising point sets via l0 minimization, pp.35-36, 2015.

S. R. Wahl-r and . Klein-r, Efficient RANSAC for point-cloud shape detection, pp.214-226, 2007.

T. S. Matsumoto-f, Detection of ellipses by a modified Hough transformation, IEEE Trans. on Computers, vol.27, issue.8 2, 1978.

W. X. and F. D. Gupta-a, Designing deep networks for surface normal estimation, CVPR (2015), pp.539-547

S. S. Wu-z, Y. F. Khosla-a, . Zhang-l, and X. J. Tang-x, ShapeNets: A deep representation for volumetric shape modeling, CVPR, p.3, 2015.

X. L. Oja-e, Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities, CVGIP: Image understanding, vol.57, issue.2 2, pp.131-154, 1993.

C. J. Zhang, W. J. Liu-x, . Liu-j, and . Shi-x, Point cloud normal estimation via low-rank subspace clustering, Computers & Graphics, vol.37, issue.6, pp.697-706, 2013.
DOI : 10.1016/j.cag.2013.05.008

[. , P. H. Van-baar, and . Gross-m, Surface splatting, SIGGRAPH, pp.371-378, 2001.