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
Statistical analysis of dirty pictures*, Journal of Applied Statistics, vol.6, issue.5-6, 1986. ,
DOI : 10.1016/0031-3203(83)90012-2
Fast approximate energy minimization via graph cuts, PAMI, vol.23, issue.11, 2001. ,
DOI : 10.1109/iccv.1999.791245
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806
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
Recovering Line-Networks in Images by Junction-Point Processes, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.247
URL : https://hal.archives-ouvertes.fr/hal-00814262
COMBINE MARKOV RANDOM FIELDS AND MARKED POINT PROCESSES TO EXTRACT BUILDING FROM REMOTELY SENSED IMAGES, ISPRS congress, 2012. ,
DOI : 10.5194/isprsannals-I-3-365-2012
Stochastic Geometry for Image Analysis, 2011. ,
DOI : 10.1002/9781118601235
URL : https://hal.archives-ouvertes.fr/hal-00793677
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
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
Marked point processes for crowd counting, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/CVPR.2009.5206621
Parallel Gibbs sampling: From colored fields to thin junction trees, Journal of Machine Learning Re- search, 2011. ,
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika, vol.82, issue.4, 1995. ,
DOI : 10.1093/biomet/82.4.711
Representations of Knowledge in Complex Systems, Journal of the Royal Statistical Society, vol.56, issue.4, 1994. ,
Range image segmentation by an effective jump-diffusion method, PAMI, vol.26, issue.9, 2004. ,
Parallel chains, delayed rejection and reversible jump mcmc for object recognition, 2000. ,
Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, issue.1, 1970. ,
DOI : 10.1093/biomet/57.1.97
Point processes for unsupervised line network extraction in remote sensing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, 2005. ,
DOI : 10.1109/TPAMI.2005.206
Geometric feature extraction by a multi-marked point process, PAMI, vol.32, issue.9, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00503140
Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation, International Journal of Computer Vision, vol.47, issue.2, 2012. ,
DOI : 10.1007/s11263-012-0517-8
URL : https://hal.archives-ouvertes.fr/hal-00759265
Computational Framework for Simulating Fluorescence Microscope Images With Cell Populations, IEEE Transactions on Medical Imaging, vol.26, issue.7, 2007. ,
DOI : 10.1109/TMI.2007.896925
Learning to count objects in images, 2010. ,
Markov Random Field Modeling in Image Analysis, 2001. ,
DOI : 10.1007/978-4-431-67044-5
Depth Map Calculation for a Variable Number of Moving Objects using Markov Sequential Object Processes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.7, 2008. ,
DOI : 10.1109/TPAMI.2008.45
Monte Carlo Strategies in Scientific Computing, 2001. ,
DOI : 10.1007/978-0-387-76371-2
A marked point process for modeling lidar waveforms, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00503149
Spatial Statistics of Visual Keypoints for Texture Recognition, 2010. ,
DOI : 10.1007/978-3-642-15561-1_55
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-00278882
Higher Order Active Contours, International Journal of Computer Vision, vol.24, issue.12, 2006. ,
DOI : 10.1007/s11263-006-6851-y
URL : https://hal.archives-ouvertes.fr/inria-00070352
Jump???diffusion Markov processes on orthogonal groups for object pose estimation, Journal of Statistical Planning and Inference, vol.103, issue.1-2, 2002. ,
DOI : 10.1016/S0378-3758(01)00195-1
A three-dimensional object point process for detection of cosmic filaments, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.434, issue.4, 2007. ,
DOI : 10.1111/j.1467-9876.2007.00587.x
Marked point process for vasculartree extraction on angiogram, 2007. ,
Comparative study of energy minimization methods for markov random fields with smoothnessbased priors, PAMI, vol.30, issue.6, 2008. ,
Image Segmentation by Data- Driven Markov Chain Monte Carlo, PAMI, vol.24, issue.5, 2002. ,
A 3-D marked point process model for multi-view people detection, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995699
Efficient Monte Carlo Sampler for Detecting Parametric Objects in Large Scenes, 2012. ,
DOI : 10.1007/978-3-642-33712-3_39
URL : https://hal.archives-ouvertes.fr/hal-00742770
On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs, IEEE Transactions on Information Theory, vol.47, issue.2, 2001. ,
DOI : 10.1109/18.910585