, Proxy Clouds for RGB-D Stream Processing: A Preview [KYZB17a] Eurographics Posters Program Presented at Eurographics, 2017.

A. Kaiser, J. A. , Y. Zepeda, and T. Boubekeur, Proxy Clouds for RGB-D Stream Processing: An Insight [KYZB17b] SIGGRAPH Technical Talks Program Presented at SIGGRAPH 2017

A. Kaiser, J. A. , Y. Zepeda, and T. Boubekeur, Proxy Clouds for Live RGB-D Stream Processing and Consolidation [KYZB18] European Conference on Computer Vision (ECCV) Presented at ECCV 2018

, A.2.3 Invited Talks ? Proxy Clouds for RGB-D Stream Processing: A Preview (Eurographics 2017 poster) Research Day of the Image, Signal, Data department of Telecom Paris, 2017.

, Geometric Proxies for Live RGB-D Stream Processing and Consolidation Research Day of the Image, Signal, Data department of Telecom Paris, 2018.

, ? Simple Geometric Primitives Detection for Captured 3D Data IMAGINE research group of ENPC October, vol.22, 2018.

, Proxy Clouds for Live RGB-D Stream Processing and Consolidation Research seminar of NPM3D class in MVA master of ENS Paris-Saclay, Mines ParisTech, 2019.

A. Kaiser, J. Zepeda, T. Boubekeur, and A. Courteville, Procédé de Recalage d'Images de Profondeur [KYZBC19] French patent request number FR1901827, 2019.

, A.2.5 Industrial Conferences ? Presentation of Ayotle's Hayo camera 1

, Laval, France ? Presentation of Ayotle's Hayo camera Futur en Seine, 2017.

N. Amenta and M. Bern, Surface reconstruction by voronoi filtering, Discrete & Computational Geometry, vol.22, issue.4, pp.481-504, 1999.

M. Alexa, J. Behr, D. Cohen-or, S. Fleishman, D. Levin et al., Computing and rendering point set surfaces. Visualization and Computer Graphics, IEEE Transactions on, vol.9, issue.1, pp.3-15, 2003.

N. Amenta, S. Choi, and R. K. Kolluri, The power crust, Proceedings of the sixth ACM symposium on Solid modeling and applications, pp.249-266, 2001.

M. Alehdaghi, A. Mahdi-abolfazli-esfahani, and . Harati, Parallel ransac: Speeding up plane extraction in rgbd image sequences using gpu, Computer and Knowledge Engineering (ICCKE), pp.295-300, 2015.

M. Attene, B. Falcidieno, and M. Spagnuolo, Hierarchical mesh segmentation based on fitting primitives, The Visual Computer, vol.22, issue.3, pp.181-193, 2006.

G. Alenyà, S. Foix, and C. Torras, Using ToF and RGBD Cameras for 3D Robot Perception and Manipulation in Human Environments, Intelligent Service Robotics, vol.7, issue.4, pp.211-220, 2014.

M. Andriluka, U. Iqbal, E. Insafutdinov, L. Pishchulin, A. Milan et al., Posetrack: A benchmark for human pose estimation and tracking, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.5167-5176, 2018.

D. Aiger, J. Niloy, D. Mitra, and . Cohen-or, 4-points congruent sets for robust pairwise surface registration, ACM Transactions on Graphics (TOG), vol.27, issue.3, p.85, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00622443

A. Andrew, Another efficient algorithm for convex hulls in two dimensions, Information Processing Letters, vol.9, issue.5, pp.216-219, 1979.

M. Attene and G. Patanè, Hierarchical structure recovery of point-sampled surfaces, Computer Graphics Forum, vol.29, issue.6, pp.1905-1920, 2010.

M. Murat-arikan, S. Schwärzler, M. Flöry, S. Wimmer, and . Maierhofer, O-snap: Optimization-based snapping for modeling architecture, vol.32, pp.1-6, 2013.

M. , Nonlinear programming: analysis and methods. Prentice-Hall series in automatic computation, 1976.

H. Dana and . Ballard, Generalizing the hough transform to detect arbitrary shapes, Pattern recognition, vol.13, issue.2, pp.111-122, 1981.

P. Buyssens, M. Daisy, D. Tschumperlé, and O. Lézoray, Superpixel-based depth map inpainting for rgb-d view synthesis, IEEE International Conference on Image Processing (ICIP), pp.4332-4336, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01153769

T. Bagautdinov, F. Fleuret, and P. Fua, Probability occupancy maps for occluded depth images. Computer Vision and Pattern Recognition, 2015.

T. Boubekeur, W. Heidrich, X. Granier, and C. Schlick, Volume-surface trees, Computer Graphics Forum, vol.25, issue.3, pp.399-406, 2006.
URL : https://hal.archives-ouvertes.fr/inria-00187194

S. Beucher and C. Lantuejoul, Use of watersheds in contour detection. International Workshop on Image Processing: Real-time Edge and Motion Detection/Estimation, 1979.

G. Blais and M. D. Levine, Registering Multiview Range Data to Create 3D Computer Objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.8, pp.820-824, 1995.

J. Paul, N. Besl, and . 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.

A. Bapat, A. Ravi, and S. Raman, An iterative, non-local approach for restoring depth maps in rgb-d images, Twenty First National Conference on Communications (NCC), pp.1-6, 2015.

B. Bellekens, V. Spruyt, R. Berkvens, and M. Weyn, A Survey of Rigid 3D Pointcloud Registration Algorithms, AMBIENT 2014: the Fourth International Conference on Ambient Computing, Applications, Services and Technologies, pp.8-13, 2014.

R. Bénière, G. Subsol, G. Gesquière, W. François-le-breton, and . Puech, Recovering primitives in 3D cad meshes. IS&T/SPIE Electronic Imaging, pp.78640-78640, 2011.

S. Bouaziz, A. Tagliasacchi, and M. Pauly, Sparse Iterative Closest Point, Computer Graphics Forum (Symposium on Geometry Processing, vol.32, pp.1-11, 2013.

M. Berger, A. Tagliasacchi, L. Seversky, P. Alliez, J. Levine et al., State of the art in surface reconstruction from point clouds, EUROGRAPHICS star reports, pp.161-185, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01017700

H. Bay, T. Tuytelaars, and L. Van-gool, SURF: Speeded up robust features, European Conference on Computer Vision, pp.404-417, 2006.

J. Biswas and M. Veloso, Fast sampling plane filtering, polygon construction and merging from depth images, Robotics: Science and Systems Conference (RSS), 2011.

J. Biswas and M. Veloso, Planar polygon extraction and merging from depth images, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3859-3864, 2012.

J. Chen and B. Chen, Architectural modeling from sparsely scanned range data, International Journal of Computer Vision, vol.78, issue.2-3, pp.223-236, 2008.

M. Heredia-conde, K. Hartmann, and O. Loffeld, Adaptive high dynamic range for time-of-flight cameras, IEEE Transactions on Instrumentation and Measurement, vol.64, issue.7, pp.1885-1906, 2015.

B. Curless and M. Levoy, A Volumetric Method for Building Complex Models from Range Images, ACM SIGGRAPH, pp.303-312, 1996.

L. Chen, H. Lin, and S. Li, Depth image enhancement for kinect using region growing and bilateral filter, 21st International Conference on Pattern Recognition (ICPR), pp.3070-3073, 2012.

Y. Chen and G. Medioni, Object Modelling by Registration of Multiple Range Images, Proceedings. 1991 IEEE International Conference on Robotics and Automation, pp.2724-2729, 1991.

D. Comaniciu and P. Meer, Mean shift: A robust approach toward feature space analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.24, issue.5, pp.603-619, 2002.

O. Chum and J. Matas, Matching with prosac-progressive sample consensus. Computer Vision and Pattern Recognition, pp.220-226, 2005.

P. Cignoni, C. Rocchini, and R. Scopigno, Metro: Measuring Error on Simplified Surfaces, Computer Graphics Forum, vol.17, issue.2, pp.167-174, 1998.

M. Camplani and L. Salgado, Adaptive spatio-temporal filter for low-cost camera depth maps, IEEE International Conference on Emerging Signal Processing Applications (ESPA), pp.33-36, 2012.

D. Cohen, -. Steiner, P. Alliez, and M. Desbrun, Variational shape approximation, ACM Transactions on Graphics (TOG), vol.23, issue.3, pp.905-914, 2004.
URL : https://hal.archives-ouvertes.fr/inria-00070632

P. Carr, Y. Sheikh, and I. Matthews, Monocular object detection using 3d geometric primitives, ECCV, pp.864-878, 2012.

M. James, A. L. Coughlan, and . Yuille, Manhattan world: Compass direction from a single image by bayesian inference, Proceedings of the Seventh IEEE International Conference on Computer Vision, vol.2, pp.941-947, 1999.

S. Choi, Q. Zhou, and V. Koltun, -sweep: Extracting editable objects from a single photo, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol.32, p.195, 2013.

H. Deng, T. Birdal, and S. Ilic, PPFNet: Global Context Aware Local Features for Robust 3D Point Matching, Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on, 2018.

X. Décoret, F. Durand, X. François, J. Sillion, and . Dorsey, Billboard clouds for extreme model simplification, ACM Transactions on Graphics (TOG), vol.22, issue.3, pp.689-696, 2003.

M. Dou, L. Guan, J. Frahm, and H. Fuchs, Exploring High-Level Plane Primitives for Indoor 3D Reconstruction with a Hand-held RGB-D Camera, Asian Conference on Computer Vision, pp.94-108, 2012.

M. Dou, L. Guan, J. Frahm, and H. Fuchs, Exploring high-level plane primitives for indoor 3d reconstruction with a hand-held rgb-d camera, Asian Conference on Computer Vision, vol.7724, pp.94-108, 2012.

O. Richard, P. E. Duda, and . Hart, Use of the hough transformation to detect lines and curves in pictures, Communications of the ACM, vol.15, issue.1, pp.11-15, 1972.

A. Dai, M. Nießner, M. Zollhöfer, S. Izadi, and C. Theobalt, Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration, ACM Transactions on Graphics (TOG), vol.36, issue.3, p.24, 2017.

A. Dai, M. Nießner, M. Zollhöfer, S. Izadi, C. Theobalt-;-soheil-darabi et al., BundleFusion: Real-Time Globally Consistent 3D Reconstruction using Online Surface Reintegration, ACM Transactions on Graphics (TOG), vol.36, issue.4, pp.82-83, 2012.

M. Dzitsiuk, J. Sturm, R. Maier, L. Ma, and D. Cremers, De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors, IEEE International Conference on Robotics and Automation (ICRA), pp.3976-3983, 2017.

B. Drost, M. Ulrich, N. Navab, and S. Ilic, Model Globally, Match Locally: Efficient and Robust 3D Object Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.998-1005, 2010.

S. Escalera, V. Athitsos, and I. Guyon, Challenges in multi-modal gesture recognition, Gesture Recognition, pp.1-60, 2017.

M. Ebrahim, 3d laser scanners' techniques overview, International Journal of Science and Research, vol.4, pp.5-611, 2015.

K. Essmaeel, L. Gallo, E. Damiani, G. D. Pietro, and A. Dipandà, Temporal denoising of kinect depth data, Eighth International Conference on Signal Image Technology and Internet Based Systems (SITIS), pp.47-52, 2012.

F. Endres, J. Hess, J. Sturm, D. Cremers, and W. Burgard, 3D Mapping with an RGB-D Camera, IEEE Transactions on Robotics, vol.30, issue.1, pp.177-187, 2014.

H. E. Elghor, D. Roussel, F. Ababsa, and E. Bouyakhf, Planes Detection for Robust Localization and Mapping in RGB-D SLAM systems, International Conference on 3D Vision (3DV), pp.452-459, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01261272

A. Martin, . Fischler, C. Robert, and . Bolles, 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.

Y. Furukawa, B. Curless, M. Steven, R. Seitz, and . Szeliski, Manhattan-world stereo, CVPR, pp.1422-1429, 2009.

K. Fukunaga, D. Larry, and . Hostetler, The estimation of the gradient of a density function, with applications in pattern recognition. Information Theory, IEEE Transactions on, vol.21, issue.1, pp.32-40, 1975.

W. Förstner and K. Khoshelham, Efficient and Accurate Registration of Point Clouds with Plane to Plane Correspondences, 3rd International Workshop on Recovering 6D Object Pose, pp.2165-2173, 2017.

A. F. Leandro, M. Fernandes, and . Oliveira, Real-time line detection through an improved hough transform voting scheme, Pattern recognition, vol.41, issue.1, pp.299-314, 2008.

J. D. Foley, Computer Graphics: Principles and Practice, Addison-Wesley systems programming series, pp.557-558, 1996.

C. Feng, Y. Taguchi, and . Vineet-r-kamat, Fast plane extraction in organized point clouds using agglomerative hierarchical clustering. ICRA, pp.6218-6225, 2014.

T. Guillemot, A. Almansa, and T. Boubekeur, Covariance trees for 2d and 3d processing, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.556-563, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01117099

Y. Guo, M. Bennamoun, F. Sohel, M. Lu, J. Wan et al., A Comprehensive Performance Evaluation of 3D Local Feature Descriptors, International Journal of Computer Vision, vol.116, issue.1, pp.66-89, 2016.

N. Gelfand and L. J. Guibas, Shape segmentation using local slippage analysis. Eurographics, symposium on Geometry processing, pp.214-223, 2004.

M. Garland, S. Paul, and . Heckbert, Surface Simplification using Quadric Error Metrics, Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp.209-216, 1997.

Z. Lucian-cosmin-goron, G. Marton, M. Lazea, and . Beetz, Robustly segmenting cylindrical and box-like objects in cluttered scenes using depth cameras, Proceedings of ROBOTIK 2012, pp.1-6, 2012.

G. H. Golub and C. F. Van-loan, Matrix computations. Johns Hopkins Studies in the Mathematical Sciences, 1996.

X. Gao and T. Zhang, Robust rgb-d simultaneous localization and mapping using planar point features, Robotics and Autonomous Systems, vol.72, pp.1-14, 2015.

H. Hoppe, T. Derose, T. Duchamp, J. Mcdonald, and W. Stuetzle, Surface reconstruction from unorganized points, Computer Graphics and Applications, vol.26, issue.2, 1992.

J. Huang, A. Dai, L. Guibas, and M. Niessner, 3dlite: Towards commodity 3d scanning for content creation, ACM Transactions on Graphics (TOG), vol.36, issue.6, p.203, 2017.

M. Halber and T. Funkhouser, Fine-To-Coarse Global Registration of RGB-D Scans, IEEE Conference on Computer Vision and Pattern Recognition (CVPR, 2017.

D. Holz, S. Holzer, S. Radu-bogdan-rusu, and . Behnke, Real-time plane segmentation using rgb-d cameras, pp.306-317, 2011.

V. C. Paul and . Hough, Method and means for recognizing complex patterns, 1962.

J. Hu, L. Shen, and G. Sun, Squeeze-and-Excitation Networks, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.7132-7141, 2018.

R. Hulik, M. Spanel, P. Smrz, and Z. Materna, Continuous Plane Detection in Point-cloud Data based on 3D Hough Transform, Journal of visual communication and image representation, vol.25, issue.1, pp.86-97, 2014.

A. Hornung, K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard, OctoMap: An Efficient Probabilistic 3D Mapping Framework Based on Octrees, Autonomous Robots, 2013.

M. Hsiao, E. Westman, G. Zhang, and M. Kaess,

, Keyframe-based dense planar slam, IEEE International Conference on Robotics and Automation (ICRA), pp.5110-5117, 2017.

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.

T. Ju, F. Losasso, S. Schaefer, and J. Warren, Dual Contouring of Hermite Data, In ACM transactions on graphics, vol.21, issue.1, pp.339-346, 2002.

M. Kaess, Simultaneous Localization and Mapping with Infinite Planes, IEEE International Conference on Robotics and Automation (ICRA), pp.4605-4611, 2015.

M. Kazhdan, M. Bolitho, and H. Hoppe, Poisson surface reconstruction, Proceedings of the fourth Eurographics symposium on Geometry processing, vol.7, 2006.

J. Kopf, F. Michael, D. Cohen, M. Lischinski, and . Uyttendaele, Joint bilateral upsampling, ACM Transactions on Graphics (ToG), vol.26, issue.3, p.96, 2007.

M. Klingensmith, I. Dryanovski, S. Srinivasa, and J. Xiao, Chisel: Real Time Large Scale 3D Reconstruction Onboard a Mobile Device using Spatially Hashed Signed Distance Fields. Robotics Science and Systems, 2015.

N. Kiryati, Y. Eldar, and A. M. Bruckstein, A probabilistic hough transform, Pattern recognition, vol.24, issue.4, pp.303-316, 1991.

S. H. Khan, X. He, M. Bennamoun, F. Sohel, and R. Togneri, Separating objects and clutter in indoor scenes. Computer Vision and Pattern Recognition, 2015.

Z. Kang and Z. Li, Primitive fitting based on the efficient multibaysac algorithm, PloS one, vol.10, issue.3, p.117341, 2015.

M. Keller, D. Lefloch, M. Lambers, S. Izadi, T. Weyrich et al., Real-time 3d reconstruction in dynamic scenes using point-based fusion, International Conference on 3D Vision (3DV), pp.1-8, 2013.

V. G. Kim, W. Li, N. J. Mitra, S. Chaudhuri, S. Diverdi et al., Learning part-based templates from large collections of 3d shapes, Transactions on Graphics (Proc. of SIGGRAPH, p.32, 2013.

G. Klein and D. Murray, Parallel Tracking and Mapping for Small AR Workspaces, Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, pp.1-10, 2007.

M. Kass and J. Solomon, Smoothed local histogram filters, ACM Transactions on Graphics (TOG), vol.29, issue.4, p.100, 2010.

A. Kaiser, J. Zepeda, and T. Boubekeur, Proxy Clouds for RGB-D Stream Processing: A Preview, Proceedings of Eurographics 2017 -Posters, vol.2, 2017.

A. Kaiser, J. Zepeda, and T. Boubekeur, Proxy Clouds for RGB-D Stream Processing: An Insight, Proceedings of SIGGRAPH 2017 -Talks, vol.2, 2017.

A. Kaiser, J. Zepeda, and T. Boubekeur, Proxy Clouds for Live RGB-D Stream Processing and Consolidation, Proceedings of the European Conference on Computer Vision (ECCV), 2018.

A. Kaiser, J. Zepeda, and T. Boubekeur, A Survey of Simple Geometric Primitives Detection Methods for Captured 3D Data, Computer Graphics Forum, vol.38, issue.1, pp.167-196, 2019.

A. Kaiser, J. Zepeda, T. Boubekeur, and A. Courteville, Procédé de Recalage d'Images de Profondeur, 2019.

E. William, H. E. Lorensen, and . Cline, Marching Cubes: A High Resolution 3D Surface Construction Algorithm, ACM SIGGRAPH, vol.21, pp.163-169, 1987.

S. Liu, C. Chen, and N. Kehtarnava, A computationally efficient denoising and hole-filling method for depth image enhancement, SPIE Conference on Real-Time Image and Video Processing, 2016.

R. Liu, Z. Deng, L. Yi, Z. Huang, D. Cao et al., Hole-filling based on disparity map and inpainting for depth-image-based rendering, International Journal of Hybrid Information Technology, vol.9, issue.5, pp.145-164, 2016.

H. Lin, J. Gao, Y. Zhou, G. Lu, M. Ye et al., Semantic decomposition and reconstruction of residential scenes from lidar data, Proc. of SIGGRAPH), vol.32, 2013.

S. Lefebvre and H. Hoppe, Compressed random-access trees for spatially coherent data, Proceedings of the 18th Eurographics conference on Rendering Techniques, pp.339-349, 2007.
URL : https://hal.archives-ouvertes.fr/inria-00606800

L. Li, Time-of-Flight Camera -An Introduction, Technical White Paper SLOA190B, 2014.

L. Li, Filtering for 3d time-of-flight sensors, 2016.

A. Vu-le, S. Jung, and C. Sun-won, Directional joint bilateral filter for depth images, Sensors, vol.14, issue.7, pp.11362-11378, 2014.

S. Tae-kyeong-lee, S. Lim, S. Lee, S. An, and . Oh, Indoor mapping using planes extracted from noisy rgb-d sensors. Intelligent Robots and Systems (IROS), pp.1727-1733, 2012.

P. Stuart and . Lloyd, Least squares quantization in pcm. Information Theory, IEEE Transactions on, vol.28, issue.2, pp.129-137, 1982.

F. Lafarge and C. Mallet, Creating large-scale city models from 3d-point clouds: a robust approach with hybrid representation, International journal of computer vision, vol.99, issue.1, pp.69-85, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00759265

M. Labbé and F. Michaud, Online global loop closure detection for large-scale multi-session graph-based slam, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.2661-2666, 2014.

G. Lukács, R. Martin, and D. Marshall, Faithful least-squares fitting of spheres, cylinders, cones and tori for reliable segmentation, pp.671-686, 1998.

G. David and . Lowe, Object Recognition from Local Scale-invariant Features, International Conference on Computer Vision, vol.99, pp.1150-1157, 1999.

B. Lévy, N. Sylvain-petitjean, J. Ray, and . Maillot, Least squares conformal maps for automatic texture atlas generation, ACM Transactions on Graphics (TOG), vol.21, issue.3, pp.362-371, 2002.

J. Lalonde, N. Vandapel, D. Huber, and M. Hebert, Natural terrain classification using three-dimensional ladar data for ground robot mobility, Journal of Field Robotics, vol.23, issue.10, pp.839-861, 2006.

Y. Li, X. Wu, Y. Chrysanthou, A. Sharf, D. Cohen-or et al., Globfit: Consistently fitting primitives by discovering global relations, ACM Transactions on Graphics, vol.30, issue.4, 2011.

J. Macqueen, Some methods for classification and analysis of multivariate observations, Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol.1, pp.281-297, 1967.

N. Mellado, D. Aiger, and N. J. Mitra, Super4PCS: Fast Global Pointcloud Registration via Smart Indexing, Computer Graphics Forum, vol.33, issue.5, pp.205-215, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01538738

R. Mur, -. , and J. D. Tardós, Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras, IEEE Transactions on Robotics, vol.33, issue.5, pp.1255-1262, 2017.

J. Matas and O. Chum, Randomized ransac with t d, d test, Image and vision computing, vol.22, issue.10, pp.837-842, 2004.

M. Morell-gimenez, V. Saval-calvo, J. Villena-martinez, J. Azorin-lopez, M. Garcia-rodriguez et al., A Survey of 3D Rigid Registration Methods for RGB-D Cameras, Advancements in Computer Vision and Image Processing, pp.74-98, 2018.

A. Martinovic, J. Knopp, H. Riemenschneider, and L. Van-gool, 3d all the way: Semantic segmentation of urban scenes from start to end in 3d. Computer Vision and Pattern Recognition, 2015.

D. Min, J. Lu, and M. N. Do, Depth video enhancement based on weighted mode filtering, IEEE Transactions on Image Processing, vol.21, issue.3, pp.1176-1190, 2012.

D. Marshall, G. Lukacs, and R. Martin, Robust segmentation of primitives from range data in the presence of geometric degeneracy, vol.23, pp.304-314, 2001.

A. Monszpart, N. Mellado, G. Brostow, and N. Mitra, RAPter: Rebuilding man-made scenes with regular arrangements of planes, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01498225

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.33, issue.2, pp.11-21, 2014.

A. Richard, D. Newcombe, S. Fox, and . Seitz, Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time, Computer Vision and Pattern Recognition (CVPR), pp.343-352, 2015.

S. Richard-a-newcombe, O. Izadi, D. Hilliges, D. Molyneaux, . Kim et al., KinectFusion: Real-time Dense Surface Mapping and Tracking, IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp.127-136

, IEEE, 2011.

S. Chuong-v-nguyen, D. Izadi, and . Lovell, Modeling kinect sensor noise for improved 3d reconstruction and tracking, Second International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), pp.524-530, 2012.

F. Nenci, L. Spinello, and C. Stachniss, Effective compression of range data streams for remote robot operations using h. 264, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3794-3799, 2014.

M. Nießner, M. Zollhöfer, S. Izadi, and M. Stamminger, Real-time 3d reconstruction at scale using voxel hashing, ACM Transactions on Graphics (ToG), vol.32, issue.6, p.173, 2003.

S. Oesau, F. Lafarge, and P. Alliez, Planar shape detection and regularization in tandem, Computer Graphics Forum, vol.35, issue.1, pp.203-215, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01168394

S. Ochmann, R. Vock, R. Wessel, and R. Klein, Towards the extraction of hierarchical building descriptions from 3d indoor scans. EUROGRAPHICS Workshop on 3D Object Retrieval, 2014.

K. Pathak, A. Birk, N. Vaskevicius, and J. Poppinga, Fast Registration Based on Noisy Planes with Unknown Correspondences for 3D Mapping, IEEE Transactions on Robotics, vol.26, issue.3, pp.424-441, 2010.

E. Praun and H. Hoppe, Spherical Parametrization and Remeshing, In ACM Transactions on Graphics, vol.22, pp.340-349, 2003.

N. Radu-bogdan-rusu, M. Blodow, and . Beetz, Fast Point Feature Histograms (FPFH) for 3D Registration, Robotics and Automation, 2009. ICRA'09. IEEE International Conference on, pp.3212-3217, 2009.

N. Radu-bogdan-rusu, Z. Blodow, A. Marton, M. Soos, and . Beetz, Towards 3d object maps for autonomous household robots. Intelligent Robots and Systems (IROS), pp.3191-3198, 2007.

N. Radu-bogdan-rusu, . Blodow, M. Zoltan-csaba-marton, and . Beetz, Aligning Point Cloud Views using Persistent Feature Histograms, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3384-3391, 2008.

N. Radu-bogdan-rusu, . Blodow, M. Zoltan-csaba-marton, and . Beetz, Close-range scene segmentation and reconstruction of 3d point cloud maps for mobile manipulation in domestic environments. Intelligent Robots and Systems (IROS), pp.1-6, 2009.

J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, You Only Look Once: Unified, Real-time Object Detection, Proceedings of the IEEE conference on computer vision and pattern recognition, pp.779-788, 2016.

T. Rabbani, S. Dijkman, F. Van-den, G. Heuvel, and . Vosselman, An integrated approach for modelling and global registration of point clouds. ISPRS journal of Photogrammetry and Remote Sensing, vol.61, pp.355-370, 2007.

S. Rusinkiewicz and M. Levoy, Efficient Variants of the ICP Algorithm, vol.3, pp.145-152, 2001.

P. J. Rousseeuw, Least median of squares regression, Journal of the American Statistical Association, vol.79, issue.388, pp.871-880, 1984.

E. Rublee, V. Rabaud, K. Konolige, and G. Bradski, ORB: An efficient alternative to SIFT or SURF, International Conference on Computer Vision, pp.2564-2571, 2011.

T. Rabbani, F. Van-den, and . Heuvel, Efficient hough transform for automatic detection of cylinders in point clouds, ISPRS journal of Photogrammetry and Remote Sensing, vol.3, pp.60-65, 2005.

M. Solh and G. Alregib, Hierarchical hole-filling for depth-based view synthesis in ftv and 3d video, IEEE Journal of Selected Topics in Signal Processing, vol.6, issue.5, pp.495-504, 2012.

A. Shtof, A. Agathos, Y. Gingold, A. Shamir, and D. Cohen-or, Geosemantic snapping for sketch-based modeling, Computer Graphics Forum (Proc. EUROGRAPHICS), vol.32, pp.245-253, 2013.

-. Hanns and . Schuster, Segmentation of lidar data using the tensor voting framework, ISPRS, vol.35, issue.B3, pp.1073-1078, 2004.

R. Schnabel, P. Degener, and R. Klein, Completion and reconstruction with primitive shapes, Computer Graphics Forum, vol.28, issue.2, pp.503-512, 2009.

J. Serra, Image analysis and mathematical morphology, 1983.

J. Shotton, M. Fitzgibbon, . Cook, . Sharp, . Finocchio et al., Real-time Human Pose Recognition in Parts from Single Depth Images, Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp.1297-1304, 2011.

A. Shamir, A survey on mesh segmentation techniques, Computer Graphics Forum, vol.27, issue.6, pp.1539-1556, 2008.

N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, Indoor segmentation and support inference from rgbd images. ECCV, 2012.

L. Shao, J. Han, P. Kohli, and Z. Zhang, Computer vision and machine learning with RGB-D sensors. Advances in Computer Vision and Pattern Recognition, 2014.

A. Segal, D. Haehnel, and S. Thrun, Generalized-ICP. Robotics Science and Systems, vol.5, 2009.

C. Szegedy, S. Ioffe, V. Vanhoucke, and A. A. Alemi, Inception-v4, Inception-ResNet and the Impact of Residual Connections On Learning, Thirty-First AAAI Conference on Artificial Intelligence, 2017.

M. Schmeing and X. Jiang, Color segmentation based depth image filtering, Advances in Depth Image Analysis and Applications (WDIA 2012, vol.7854, pp.68-77

. Springer, , 2013.

F. Renato, B. Salas-moreno, . Glocken, H. J. Paul, A. Kelly et al., Dense planar slam, IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp.157-164, 2014.

F. Renato, B. Salas-moreno, . Glocken, H. J. Paul, A. Kelly et al., Dense planar slam. ISMAR, 2014.

S. Richard and . Stephens, Probabilistic approach to the hough transform, Image and vision computing, vol.9, issue.1, pp.66-71, 1991.

R. Schnabel, R. Wahl, and R. Klein, Efficient RANSAC for Point-Cloud Shape Detection, Computer Graphics Forum, vol.26, issue.2, pp.214-226, 2007.

R. Schnabel, R. Wessel, R. Wahl, and R. Klein, Shape recognition in 3d point-clouds. The 16-th International

Y. Shi, K. Xu, M. Nießner, S. Rusinkiewicz, and T. Funkhouser, PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction, Proceedings of the European Conference on Computer Vision (ECCV), 2018.

T. Shao, W. Xu, K. Zhou, J. Wang, D. Li et al., An interactive approach to semantic modeling of indoor scenes with an rgbd camera, ACM Transactions on Graphics (TOG), vol.31, issue.6, p.136, 2012.

A. Shpunt and Z. Zalevsky, Depth-varying Light Fields for Three Dimensional Sensing, 2007.

J. Thiery, E. Guy, and T. Boubekeur, Sphere-meshes: Shape approximation using spherical quadric error metrics, Proc. of SIGGRAPH Asia), vol.32, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01117106

J. Thiery, É. Guy, T. Boubekeur, and E. Eisemann, Animated mesh approximation with sphere-meshes, ACM Trans. Graph, vol.35, issue.3, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01444869

J. B. Alexander, S. Trevor, . Gedikli, B. Radu, H. I. Rusu et al., Efficient organized point cloud segmentation with connected components. Semantic Perception Mapping and Exploration (SPME), 2013.

Y. Taguchi, Y. Jian, S. Ramalingam, and C. Feng, Point-plane slam for hand-held 3d sensors, Robotics and Automation (ICRA), pp.5182-5189, 2013.

C. Tomasi and R. Manduchi, Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision, pp.839-846, 1998.

A. Tkach, M. Pauly, and A. Tagliasacchi, Sphere-meshes for real-time hand modeling and tracking, ACM Trans. Graph, vol.35, issue.6, pp.1-222, 2016.

H. S. Philip, A. Torr, and . Zisserman, Mlesac: A new robust estimator with application to estimating image geometry. Computer Vision and Image Understanding, vol.78, pp.138-156, 2000.

S. Umeyama, Least-squares estimation of transformation parameters between two point patterns, IEEE Transactions, vol.13, issue.4, pp.376-380, 1991.

D. Viejo, H. , and M. Cazorla, 3D Model Based Map Building, IX Workshop de Agentes Fisicos (WAF'2008), 2008.

Y. Verdie, F. Lafarge, and P. Alliez, Lod generation for urban scenes, ACM Transactions On Graphics, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01113078

K. Gregory and . Wallace, The jpeg still picture compression standard, IEEE transactions on consumer electronics, vol.38, issue.1

T. Ross, J. Whitaker, P. F. Gregor, and . Chen, Indoor scene reconstruction from sets of noisy range image, Digital Imaging and Modeling (3DIM), pp.348-357, 1999.

J. Wu and L. Kobbelt, Structure recovery via hybrid variational surface approximation, Computer Graphics Forum, vol.24, issue.3, pp.277-284, 2005.

J. Wang, M. Manuel, and . Oliveira, Improved scene reconstruction from range images, Computer Graphics Forum, vol.21, issue.3, pp.521-530, 2002.

J. Oliver, M. Woodford, A. Pham, R. Maki, F. Gherardi et al., Contraction moves for geometric model fitting. ECCV, pp.181-194, 2012.

J. Oliver, M. Woodford, A. Pham, F. Maki, B. Perbet et al., Demisting the hough transform for 3d shape recognition and registration, International Journal of Computer Vision, vol.106, issue.3, pp.332-341, 2014.

T. Whelan, R. F. Salas-moreno, B. Glocker, J. Andrew, S. Davison et al., ElasticFusion: Real-Time Dense SLAM and Light Source Estimation, The International Journal of Robotics Research, vol.35, issue.14, pp.1697-1716, 2016.

C. Wu, M. Zollhöfer, M. Nießner, M. Stamminger, S. Izadi et al., Real-time shading-based refinement for consumer depth cameras, ACM Transactions on Graphics (TOG), vol.33, issue.6, 2014.

K. Xu, G. Vladimir, Q. Kim, and . Huang, Niloy Mitra, and Evangelos Kalogerakis. Data-driven shape analysis and processing, SIGGRAPH ASIA 2016 Courses, p.4, 2016.

J. Xiao, A. Owens, and A. Torralba, SUN3D: A Database of Big Spaces Reconstructed using SfM and Object Labels, Proceedings of the IEEE International Conference on Computer Vision, pp.1625-1632, 2013.

B. Xiao, H. Wu, and Y. Wei, Simple baselines for human pose estimation and tracking, Proceedings of the European Conference on Computer Vision (ECCV), pp.466-481, 2018.

J. Xiao, J. Zhang, and J. Zhang, Houxiang Zhang, and Hans Petter Hildre. Fast plane detection for slam from noisy range images in both structured and unstructured environments, Mechatronics and Automation (ICMA), pp.1768-1773, 2011.

C. Yuksel, J. Keyser, and D. H. House, Mesh Colors, ACM Transactions on Graphics, vol.29, issue.2

D. Yan, W. Wang, Y. Liu, and Z. Yang, Variational mesh segmentation via quadric surface fitting, Computer-Aided Design, vol.44, issue.11, pp.1072-1082, 2012.

J. Zepeda, Methods and Systems for Controlling a Virtual Interactive Surface and Interactive Display Systems, 2013.

J. Zepeda, Virtual Sensor Systems and Methods, 2013.

E. Zhang, F. Michael, B. Cohen, and . Curless, Emptying, Refurnishing, and Relighting Indoor Spaces, ACM Transactions on Graphics (TOG), vol.35, issue.6, p.174, 2016.

Q. Zhou, J. Park, and V. Koltun, Fast Global Registration, European Conference on Computer Vision, pp.766-782, 2016.

Q. Zhou, J. Park, and V. Koltun, Open3D: A Modern Library for 3D Data Processing, 2018.

M. Zollhöfer, P. Stotko, A. Görlitz, C. Theobalt, M. Nießner et al., State of the Art on 3D Reconstruction with RGB-D Cameras, Proceedings of EUROGRAPHICS), vol.37, pp.625-652, 2018.

A. Zeng, S. Song, M. Nießner, M. Fisher, J. Xiao et al., 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions, CVPR, 2017.

Y. Zhang, W. Xu, Y. Tong, and K. Zhou, Online Structure Analysis for Real-time Indoor Scene Reconstruction, ACM Transactions on Graphics (TOG), vol.34, issue.5, p.159, 2015.

Y. Zhou, K. Yin, H. Huang, and H. Zhang, Minglun Gong, and Daniel Cohen-Or. Generalized cylinder decomposition, ACM Transactions on Graphics (TOG), vol.34, issue.6, p.171, 2015.