M. [. Amenta, M. Bern, and . Kamvysselis, Crust: A new Voronoi-based surface reconstruction algorithm

G. [. Attene and . Patane, Hierarchical Structure Recovery of Point-Sampled Surfaces, Computer Graphics Forum, vol.26, issue.5, 2010.
DOI : 10.1111/j.1467-8659.2010.01658.x

M. Arikan, M. Schwarzler, S. Flory, M. Wimmer, and S. Maierhofer, O-snap, ACM Transactions on Graphics, vol.32, issue.1, pp.2012-2021
DOI : 10.1145/2421636.2421642

S. Agarwal, N. Snavely, I. Simon, S. Seitz, and R. Szeliski, Building Rome in a day, ICCV, 2009.

D. [. Brown, G. D. Burschka, and . Hager, Advances in computational stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.8, p.25, 2003.
DOI : 10.1109/TPAMI.2003.1217603

X. [. Benedek, J. Descombes, and . Zerubia, Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.1, p.2012
DOI : 10.1109/TPAMI.2011.94

URL : https://hal.archives-ouvertes.fr/hal-00730552

S. [. Byrd, A. Jarvis, and . Bhalerao, On the parallelisation of MCMC-based image processing, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010.
DOI : 10.1109/IPDPSW.2010.5470896

Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/max-ow algorithms for energy minimization in vision, Trans. on Pattern Analysis and Machine Intelligence, vol.26, issue.9, 2004.

M. [. Baddeley and . Van-lieshout, Stochastic geometry models in high-level vision, Journal of Applied Statistics, vol.55, issue.5-6, pp.5-6, 1993.
DOI : 10.1098/rsta.1990.0127

M. Berger, J. Levine, L. Nonato, G. Taubin, and C. Silva, A benchmark for surface reconstruction, ACM Transactions on Graphics, vol.32, issue.2, p.2013
DOI : 10.1145/2451236.2451246

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, Trans. on Pattern Analysis and Machine Intelligence, vol.23, issue.11, 2001.
DOI : 10.1109/iccv.1999.791245

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

C. Baillard and A. Zisserman, A plane-sweep strategy for the 3d reconstruction of buildings from multiple images, ISPRS Congress, 2000.

B. [. Chen and . Chen, Architectural Modeling from Sparsely Scanned Range Data, International Journal of Computer Vision, vol.8, issue.2, 2008.
DOI : 10.1007/s11263-007-0105-5

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

W. [. Chai, F. Forstner, and . Lafarge, Recovering linenetworks in images by junction-point processes Robust piecewiseplanar 3D reconstruction and completion from large-scale unstructured point data, CVPR, 2010.

P. [. Cohen-steiner, M. Alliez, and . Desbrun, Variational shape approximation, SIGGRAPH, 2004.
DOI : 10.1145/1186562.1015817

URL : https://hal.archives-ouvertes.fr/inria-00070632

A. [. Coughlan and . Yuille, The Manhattan world assumption: Regularities in scene statistics which enable Bayesian inference, NIPS, 2000.

X. Descombes, Stochastic geometry for image analysis, 2011.
DOI : 10.1002/9781118601235

URL : https://hal.archives-ouvertes.fr/hal-00793677

X. Descombes, R. Minlos, and E. Zhizhina, Object Extraction Using a Stochastic Birth-and-Death Dynamics in Continuum, Journal of Mathematical Imaging and Vision, vol.21, issue.3, 2009.
DOI : 10.1007/s10851-008-0117-y

URL : https://hal.archives-ouvertes.fr/inria-00422411

T. [. Durrant-whyte and . Bailey, Simultaneous localisation and mapping (slam): Part i the essential algorithms, IEEE Robotics and Automation Magazine, vol.2, 2006.

M. [. Earl and . Deem, Parallel tempering: Theory, applications, and new perspectives, Physical Chemistry Chemical Physics, vol.96, issue.23, 2005.
DOI : 10.1002/cphc.200400629

URL : http://arxiv.org/abs/physics/0508111

O. Faugeras, Three-dimensional computer vision: a geometric viewpoint, 1993.

D. [. Fleishman, C. Cohen-or, and . Silva, Robust moving least-squares tting with sharp features, SIGGRAPH, 2005. [FCSS09] Y. Furukawa, B. Curless, S.M. Seitz, and R. Szeliski
DOI : 10.1145/1186822.1073227

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

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

F. Fraundorfer, K. Schindler, and H. Bischof, Piecewise planar scene reconstruction from sparse correspondences, Image and Vision Computing, vol.24, issue.4, 2006.
DOI : 10.1016/j.imavis.2006.01.007

A. [. Frueh, . [. Zakhor, J. Grabner, L. Gall, and . Van-gool, Constructing 3D city models by merging ground-based and airborne views, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003.
DOI : 10.1109/CVPR.2003.1211517

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

C. [. Geman, M. Huang, P. Garland, and . Heckbert, Diusion for global optimization Surface simplication using quadric error metrics, SIGGRAPH, 1986.

A. Golovinskiy, V. G. Kim, and T. Funkhouser, Shape-based recognition of 3D point clouds in urban environments, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459471

Y. [. Gonzalez, A. Low, C. Gretton, and . Guestrin, Parallel Gibbs sampling: From colored elds to thin junction trees, Journal of Machine Learning Research, 2011.

]. C. Gm94a, J. Geyer, and . Moller, Simulation and likelihood inference for spatial point processes, Scandinavian Journal of Statistics, Series B, issue.21, 1994.

]. U. Gm94b, M. I. Grenander, and . Miller, Representations of Knowledge in Complex Systems, Journal of the Royal Statistical Society, vol.56, issue.4, 1994.

L. [. Groger and . Plumer, CityGML ??? Interoperable semantic 3D city models, ISPRS Journal of Photogrammetry and Remote Sensing, vol.71, p.71, 2012.
DOI : 10.1016/j.isprsjprs.2012.04.004

]. P. Gre95 and . Green, Reversible Jump Markov Chains Monte Carlo computation and Bayesian model determination, Biometrika, vol.82, issue.4, 1995.

S. [. Guo, Y. N. Zhu, and . Wu, Surface reconstruction using local shape priors Modeling visual patterns by integrating descriptive and generative models, SGP, 2003.

M. Harkness and P. Green, Parallel chains, delayed rejection and reversible jump mcmc for object recognition, BMVC, 2000.

L. [. Hornung and . Kobbelt, Robust reconstruction of watertight 3D models from non-uniformly sampled point clouds without normal information, SGP, 2006.

M. [. Haala and . Kada, An update on automatic 3D building reconstruction, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.6, 2010.
DOI : 10.1016/j.isprsjprs.2010.09.006

M. Habbecke and L. Kobbelt, Linear Analysis of Nonlinear Constraints for Interactive Geometric Modeling, Eurographics, 2012.
DOI : 10.1111/j.1467-8659.2012.03043.x

F. Han, Z. W. Tu, and S. C. Zhu, Range Image Segmentation by an Eective Jump-Diusion Method, Trans. on Pattern Analysis and Machine Intelligence, vol.26, issue.9, 2004.

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

M. Angst and . Pollefeys, Joint 3D scene reconstruction and class segmentation, CVPR, 2013.

S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. Newcombe et al., KinectFusion, Proceedings of the 24th annual ACM symposium on User interface software and technology, UIST '11, 2011.
DOI : 10.1145/2047196.2047270

M. [. Jenke, W. Wand, and . Straber, Patch-graph reconstruction for piecewise smooth surfaces, Proc. of the Vision, Modeling, and Visualization Conference, 2008.

M. [. Kazhdan, H. Bolitho, and . Hoppe, Poisson surface reconstruction, SGP, 2006.

S. [. Kobbelt, J. Campagna, H. Vorsatz, and . Seidel, Interactive multi-resolution modeling on arbitrary meshes, Proceedings of the 25th annual conference on Computer graphics and interactive techniques , SIGGRAPH '98, 1998.
DOI : 10.1145/280814.280831

O. [. Keriven and . Faugeras, Complete dense stereovision using level set methods, ECCV, 1998.

B. [. Kitani, J. Ziebart, M. Bagnell, and . Hebert, Activity Forecasting, ECCV, 2012.
DOI : 10.1007/978-3-642-33765-9_15

F. Lafarge and P. Alliez, Surface Reconstruction through Point Set Structuring, Eurographics, 2013.
DOI : 10.1111/cgf.12042

URL : https://hal.archives-ouvertes.fr/hal-00768197

Y. [. Lempitsky and . Boykov, Global optimization for shape tting, CVPR, 2007.

X. [. Lacoste, J. Descombe, and . Zerubia, Point processes for unsupervised line network extraction in remote sensing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10
DOI : 10.1109/TPAMI.2005.206

X. [. Lafarge, J. Descombes, M. Zerubia, and . Pierrot-deseilligny, An automatic building reconstruction method: a structural approach using hr images, ICIP, 2006.

F. Lafarge, X. Descombes, J. Zerubia, and M. Pierrot-deseilligny, Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling, ISPRS Journal of Photogrammetry and Remote Sensing, vol.63, issue.3, 2008.
DOI : 10.1016/j.isprsjprs.2007.09.003

URL : https://hal.archives-ouvertes.fr/hal-00781689

. Deseilligny, Structural approach for building reconstruction from a single DSM, Trans. on Pattern Analysis and Machine Intelligence, vol.32, issue.1, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00503136

G. [. Lafarge and X. Descombes, Geometric feature extraction by a multi-marked point process, Trans. on Pattern Analysis and Machine Intelligence, vol.32, issue.9, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00503140

H. Lin, J. Gao, Y. Zhou, G. Lu, M. Ye et al., Semantic decomposition and reconstruction of residential scenes from LiDAR data, SIGGRAPH, 2013. [Li01]
DOI : 10.1145/2461912.2461969

S. Z. Li, Markov Random Field Modeling in Image Analysis
DOI : 10.1007/978-4-431-67044-5

F. Leberl, A. Irschara, T. Pock, P. Meixner, M. Gruber et al., Point Clouds, Photogrammetric Engineering & Remote Sensing, vol.76, issue.10, p.76, 2010.
DOI : 10.14358/PERS.76.10.1123

R. [. Lafarge, M. Keriven, and . Bredif, Insertion of 3D- primitives in mesh-based representations: Towards compact models preserving the details, Trans. on Image Processing, vol.19, issue.7, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00503145

R. [. Lafarge, M. Keriven, H. H. Bredif, and . Vu, A hybrid multi-view stereo algorithm for modeling urban scenes Creating large-scale city models from 3D-point clouds: a robust approach with hybrid representation, 2013. [LM12] F. Lafarge and C. Mallet, p.2012

J. [. Labatut, R. Pons, and . Keriven, Robust and ecient surface reconstruction from range data, Computer Graphics Forum, issue.8, p.28, 2009.

Y. Li, X. Wu, Y. Chrysathou, A. Sharf, D. Cohen-or et al., Globt: Consistently tting primitives by discovering global relations, SIGGRAPH, 2011.

V. Lempitsky and A. Zisserman, Learning to count objects in images, NIPS, 2010.

Y. Li, Q. Zheng, A. Sharf, D. Cohen-or, B. Chen et al., 2D-3D fusion for layer decomposition of urban facades, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126329

]. H. May08 and . Mayer, Object extraction in photogrammetric computer vision, Journal of Photogrammetry and Remote Sensing, vol.63, issue.2, 2008.

J. [. Munoz, M. Bagnell, and . Hebert, Co-inference machines for multi-modal scene analysis, ECCV, 2012.

G. [. Marshall, R. Lukacs, and . Martin, Robust segmentation of primitives from range data in the presence of geometric degeneracy, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.3, 2001.
DOI : 10.1109/34.910883

[. Mitra, M. Pauly, M. Wand, and D. Ceylan, Symmetry in 3D Geometry: Extraction and Applications, EUROGRAPHICS State of the Art Reports, 2012.
DOI : 10.1111/cgf.12010

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

B. Matei, H. Sawhney, S. Samarasekera, J. Kim, and R. Kumar, Building segmentation for densely built urban regions using aerial LIDAR data, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587458

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

P. Musialski, P. Wonka, D. Aliaga, M. Wimmer, L. Van-gool et al., A Survey of Urban Reconstruction, EUROGRAPHICS State of the Art Reports, 2012.
DOI : 10.1111/cgf.12077

X. [. Ortner, J. Descombes, and . Zerubia, A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.1, 2008.
DOI : 10.1109/TPAMI.2007.1159

URL : https://hal.archives-ouvertes.fr/inria-00070305

F. [. Oesau, P. Lafarge, and . Alliez, Indoor scene reconstruction using feature sensitive primitive extraction and graph-cut, ISPRS Journal of Photogrammetry and Remote Sensing, vol.90
DOI : 10.1016/j.isprsjprs.2014.02.004

URL : https://hal.archives-ouvertes.fr/hal-00980804

[. Pons, R. Keriven, and O. Faugeras, Multi-view stereo reconstruction and scene ow estimation with a global imagebased matching score, International Journal of Computer Vision, vol.72, issue.2, 2007.

M. Pollefeys, D. Nistér, J. M. Frahm, A. Akbarzadeh, P. Mordohai et al., Detailed Real-Time Urban 3D Reconstruction from Video, International Journal of Computer Vision, vol.26, issue.2, 2008.
DOI : 10.1007/s11263-007-0086-4

. [. Pham, T. Chin, J. Yu, and D. Suter, The random cluster model for robust geometric tting, CVPR, 2012. [PWZ08] J. Porway, L. Wang, and S.C. Zhu. A hierarchical and contextual model for aerial image understanding CVPR, 2008.

C. Poullis and S. You, Automatic reconstruction of cities from remote sensor data, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206562

F. Rottensteiner, G. Sohn, J. Jung, M. Gerke, C. Baillard et al., The ISPRS benchmark on urban object classication and 3d building reconstruction, Proc. of the ISPRS congress, 2012.

S. 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), 2006.
DOI : 10.1109/CVPR.2006.19

P. [. Schnabel, R. Degener, ]. A. Kleinsgjm02, U. Srivastava, G. Grenander et al., Completion and reconstruction with primitive shapes Jump- Diusion Markov processes on orthogonal groups for object pose estimation, Eurographics, 2002.

V. [. Stoica, E. Martinez, and . Saar, A three dimensional object point process for detection of cosmic laments, Journal of the Royal Statistical Society, vol.56, issue.4, 2007.

T. [. Scholze, L. Moons, R. Van-gool, and . Szeliski, A probabilistic approach to building roof reconstruction using semantic labelling A taxonomy and evaluation of dense 2-frame stereo correspondence algorithms, DAGM-Symposium, 2002.

C. Strecha, W. Von-hansen, L. Van-gool, P. Fua, U. Thoennessen et al., On benchmarking camera calibration and multi-view stereo for high resolution imagery Ecient RANSAC for point-cloud shape detection, CVPR, 2007.

[. Salman, M. Yvinec, and Q. Merigot, Feature Preserving Mesh Generation from 3D Point Clouds, SGP, 2010.
DOI : 10.1111/j.1467-8659.2010.01771.x

URL : https://hal.archives-ouvertes.fr/inria-00497632

R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov et al., Comparative study of energy minimization methods for markov random elds with smoothness-based priors, Trans. on Pattern Analysis and Machine Intelligence, vol.30, issue.6, 2008.

A. Toshev, P. Mordohai, B. [. Taskar, N. Tournaire, F. L. Paparoditis et al., Detecting and parsing architecture at city scale from range data Rectangular road marking detection with marked point processes Image Segmentation by Data-Driven Markov Chain Monte Carlo, CVPR Proc. of conference on Photogrammetric Image Analysis, 2002.

C. [. Utasi and . Benedek, A 3-D marked point process model for multi-view people detection, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995699

C. Vanegas, D. Aliaga, and B. Benes, Automatic Extraction of Manhattan-World Building Masses from 3D Laser Range Scans, IEEE Transactions on Visualization and Computer Graphics, vol.18, issue.10
DOI : 10.1109/TVCG.2012.30

C. Vanegas, D. Aliaga, P. Mueller, P. Waddell, B. Watson et al., Modeling the appearance and behavior of urban spaces, EUROGRAPHICS State of the Art Reports 3D building detection and modeling from aerial LIDAR data. In CVPR, 2006.

R. [. Vu, P. Keriven, J. P. Labatut, and . Pons, Towards highresolution large-scale multiview, CVPR, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00834903

[. Verdie and F. Lafarge, Detecting parametric objects in large scenes by Monte Carlo sampling, International Journal of Computer Vision, vol.62, issue.1???2, p.2014
DOI : 10.1007/s11263-013-0641-0

URL : https://hal.archives-ouvertes.fr/hal-00843022

Y. Verdie, F. Lafarge, and J. Zerubia, Generating compact meshes under planar constraints: An automatic approach for modeling buildings from aerial LiDAR, 2011 18th IEEE International Conference on Image Processing, 2011.
DOI : 10.1109/ICIP.2011.6116698

URL : https://hal.archives-ouvertes.fr/inria-00605623

N. [. Xu, B. Gossett, and . Chen, Knowledge and heuristicbased modeling of laser-scanned trees, Trans. on Graphics, vol.26, issue.4, 2007.

L. Zebedin, J. Bauer, K. F. Karner, and H. Bischof, Fusion of Feature- and Area-Based Information for Urban Buildings Modeling from Aerial Imagery, ECCV, 2008.
DOI : 10.1007/978-3-540-88693-8_64

F. [. Zimmer, P. Lafarge, L. Alliez, and . Kobbelt, Zometool shape approximation, Graphical Models, vol.76, issue.5, p.2014
DOI : 10.1016/j.gmod.2014.03.009

URL : https://hal.archives-ouvertes.fr/hal-00995875

Q. Y. Zhou and U. Neumann, 2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR Point Clouds, ECCV, 2010.
DOI : 10.1007/978-3-642-15558-1_9

URL : https://hal.archives-ouvertes.fr/in2p3-00447323