|
Publications of Xavier Descombes
Result of the query in the list of publications :
44 Articles |
21 - Automatic building 3D reconstruction from DEMs. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. Revue Française de Photogrammétrie et de Télédétection (SFPT), 184: pages 48--53, 2006. Keywords : 3D-reconstruction, Digital Elevation Model, Building extraction, dense urban areas.
@ARTICLE{lafarge_sfpt06,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{Automatic building 3D reconstruction from DEMs}, |
year |
= |
{2006}, |
journal |
= |
{Revue Française de Photogrammétrie et de Télédétection (SFPT)}, |
volume |
= |
{184}, |
pages |
= |
{48--53}, |
url |
= |
{http://isprs.free.fr/documents/Papers/T07-32.pdf}, |
keyword |
= |
{3D-reconstruction, Digital Elevation Model, Building extraction, dense urban areas} |
} |
Abstract :
This paper is about an example of PLEIADES applications, the 3D building reconstruction. The future PLEIADES satellites are
especially well adapted to deal with 3D building reconstruction through the sub-metric resolution of images and its stereoscopic characteristics. We propose a fully automatic 3D-city model of dense urban areas using a parametric approach. First, a Digital Elevation
Model (DEM) is generated using an algorithm based on a maximum-flow formulation using three views. Then, building footprints are extracted from the DEM through an automatic method based on marked point processes : they are represented by an association of rectangles that we regularize by improving the connection of the neighboring rectangles and the facade discontinuity detection. Finally, a 3D-reconstruction method based on a skeleton process which allows to model the rooftops is proposed from the DEM and the building footprints. The different building heights constitute parameters which are estimated and then regularized by the ”K-means” algorithm including an entropy term. |
|
22 - Point Processes for Unsupervised Line Network Extraction in Remote Sensing. C. Lacoste and X. Descombes and J. Zerubia. IEEE Trans. Pattern Analysis and Machine Intelligence, 27(10): pages 1568-1579, October 2005.
@ARTICLE{lacoste05,
|
author |
= |
{Lacoste, C. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Point Processes for Unsupervised Line Network Extraction in Remote Sensing}, |
year |
= |
{2005}, |
month |
= |
{October}, |
journal |
= |
{IEEE Trans. Pattern Analysis and Machine Intelligence}, |
volume |
= |
{27}, |
number |
= |
{10}, |
pages |
= |
{1568-1579}, |
pdf |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=32189&arnumber=1498752&count=18&index=4}, |
keyword |
= |
{} |
} |
|
23 - Modèle Paramétrique pour la Reconstruction Automatique en 3D de Zones Urbaines Denses à partir d'Images Satellitaires Haute Résolution. F. Lafarge and X. Descombes and J. Zerubia and M. Pierrot-Deseilligny. Revue Française de Photogrammétrie et de Télédétection (SFPT), 180: pages 4--12, 2005. Keywords : 3D reconstruction, Urban areas, Bayesian approach, MCMC, Satellite images. Copyright : SFPT
@ARTICLE{lafarge_sfpt05,
|
author |
= |
{Lafarge, F. and Descombes, X. and Zerubia, J. and Pierrot-Deseilligny, M.}, |
title |
= |
{Modèle Paramétrique pour la Reconstruction Automatique en 3D de Zones Urbaines Denses à partir d'Images Satellitaires Haute Résolution}, |
year |
= |
{2005}, |
journal |
= |
{Revue Française de Photogrammétrie et de Télédétection (SFPT)}, |
volume |
= |
{180}, |
pages |
= |
{4--12}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2005_lafarge_sfpt05.pdf}, |
keyword |
= |
{3D reconstruction, Urban areas, Bayesian approach, MCMC, Satellite images} |
} |
|
24 - Applications of Gibbs fields methods to image processing problems. X. Descombes and E. Zhizhina. Problems of Information Transmission, 40(3): pages 108--125, September 2004. Note : in Russian
@ARTICLE{DES04br,
|
author |
= |
{Descombes, X. and Zhizhina, E.}, |
title |
= |
{Applications of Gibbs fields methods to image processing problems}, |
year |
= |
{2004}, |
month |
= |
{September}, |
journal |
= |
{Problems of Information Transmission}, |
volume |
= |
{40}, |
number |
= |
{3}, |
pages |
= |
{108--125}, |
note |
= |
{in Russian}, |
pdf |
= |
{http://www.mathnet.ru/php/getFT.phtml?jrnid=ppi&paperid=146&what=fullt&option_lang=rus}, |
keyword |
= |
{} |
} |
|
25 - Applications of Gibbs fields methods to image processing problems. X. Descombes and E. Zhizhina. Problems of Information Transmission, 40(3): pages 279-295, September 2004. Note : in English
@ARTICLE{DES04be,
|
author |
= |
{Descombes, X. and Zhizhina, E.}, |
title |
= |
{Applications of Gibbs fields methods to image processing problems}, |
year |
= |
{2004}, |
month |
= |
{September}, |
journal |
= |
{Problems of Information Transmission}, |
volume |
= |
{40}, |
number |
= |
{3}, |
pages |
= |
{279-295}, |
note |
= |
{in English}, |
url |
= |
{http://link.springer.com/article/10.1023%2FB%3APRIT.0000044262.70555.5c}, |
keyword |
= |
{} |
} |
|
26 - An object based approach for detecting smallbrain lesions: application to Virchow-Robin spaces. X. Descombes and F. Kruggel and G. Wollny and H.J. Gertz. IEEE Trans. Medical Imaging, 23(2): pages 246--255, February 2004.
@ARTICLE{DES04a,
|
author |
= |
{Descombes, X. and Kruggel, F. and Wollny, G. and Gertz, H.J.}, |
title |
= |
{An object based approach for detecting smallbrain lesions: application to Virchow-Robin spaces}, |
year |
= |
{2004}, |
month |
= |
{February}, |
journal |
= |
{IEEE Trans. Medical Imaging}, |
volume |
= |
{23}, |
number |
= |
{2}, |
pages |
= |
{246--255}, |
pdf |
= |
{http://ieeexplore.ieee.org/iel5/42/28264/01263613.pdf?tp=&arnumber=1263613&isnumber=28264}, |
keyword |
= |
{} |
} |
|
27 - A Gibbs point process for road extraction in remotely sensed images. R. Stoica and X. Descombes and J. Zerubia. International Journal of Computer Vision, 57(2): pages 121--136, 2004.
@ARTICLE{STO04a,
|
author |
= |
{Stoica, R. and Descombes, X. and Zerubia, J.}, |
title |
= |
{A Gibbs point process for road extraction in remotely sensed images}, |
year |
= |
{2004}, |
journal |
= |
{International Journal of Computer Vision}, |
volume |
= |
{57}, |
number |
= |
{2}, |
pages |
= |
{121--136}, |
url |
= |
{http://www.springerlink.com/content/kr262t6084464n30/}, |
keyword |
= |
{} |
} |
|
28 - Texture Feature Analysis Using a Gauss-Markov Model in Hyperspectral Image Classification. G. Rellier and X. Descombes and F. Falzon and J. Zerubia. IEEE Trans. Geoscience and Remote Sensing, 42(7): pages 1543--1551, 2004.
@ARTICLE{DES04c,
|
author |
= |
{Rellier, G. and Descombes, X. and Falzon, F. and Zerubia, J.}, |
title |
= |
{Texture Feature Analysis Using a Gauss-Markov Model in Hyperspectral Image Classification}, |
year |
= |
{2004}, |
journal |
= |
{IEEE Trans. Geoscience and Remote Sensing}, |
volume |
= |
{42}, |
number |
= |
{7}, |
pages |
= |
{1543--1551}, |
pdf |
= |
{http://ieeexplore.ieee.org/iel5/36/29162/01315838.pdf?tp=&arnumber=1315838&isnumber=29162}, |
keyword |
= |
{} |
} |
|
29 - Extraction automatique de caricatures de bâtiments a partir de modeles numeriques d'elevation par utilisation de processus ponctuels spatiaux. M. Ortner and X. Descombes and J. Zerubia. Bulletin de la Société Française de Photogrammétrie et de Télédétection, 173-174: pages 83--92, 2004.
@ARTICLE{ORT04a,
|
author |
= |
{Ortner, M. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Extraction automatique de caricatures de bâtiments a partir de modeles numeriques d'elevation par utilisation de processus ponctuels spatiaux}, |
year |
= |
{2004}, |
journal |
= |
{Bulletin de la Société Française de Photogrammétrie et de Télédétection}, |
volume |
= |
{173-174}, |
pages |
= |
{83--92}, |
keyword |
= |
{} |
} |
|
30 - A Multiresolution Approach for Shape from Shading Coupling Deterministic and Stochastic Optimization. A. Crouzil and X. Descombes and J.D. Durou. IEEE Trans. Pattern Analysis ans Machine Intelligence, 25(11): pages 1416--1421, November 2003. Note : Special section on `Energy minimization methods in computer vision and pattern recognition'
@ARTICLE{crouzilXDJDD,
|
author |
= |
{Crouzil, A. and Descombes, X. and Durou, J.D.}, |
title |
= |
{A Multiresolution Approach for Shape from Shading Coupling Deterministic and Stochastic Optimization}, |
year |
= |
{2003}, |
month |
= |
{November}, |
journal |
= |
{IEEE Trans. Pattern Analysis ans Machine Intelligence}, |
volume |
= |
{25}, |
number |
= |
{11}, |
pages |
= |
{1416--1421}, |
note |
= |
{Special section on `Energy minimization methods in computer vision and pattern recognition'}, |
pdf |
= |
{http://ieeexplore.ieee.org/iel5/34/27807/01240116.pdf?tp=&arnumber=1240116&isnumber=27807}, |
keyword |
= |
{} |
} |
|
31 - Extraction automatique des réseaux linéiques à partir d'images satellitaires et aériennes par processus Markov objet. C. Lacoste and X. Descombes and J. Zerubia and N. Baghdadi. Bulletin de la Société Française de Photogrammétrie et de Télédétection, 170: pages 13--22, 2003.
@ARTICLE{lacostesfpt,
|
author |
= |
{Lacoste, C. and Descombes, X. and Zerubia, J. and Baghdadi, N.}, |
title |
= |
{Extraction automatique des réseaux linéiques à partir d'images satellitaires et aériennes par processus Markov objet}, |
year |
= |
{2003}, |
journal |
= |
{Bulletin de la Société Française de Photogrammétrie et de Télédétection}, |
volume |
= |
{170}, |
pages |
= |
{13--22}, |
url |
= |
{http://www.researchgate.net/profile/Nicolas_Baghdadi/publication/236882132_Extraction_automatique_des_rseaux_liniques__partir_dimages_satellitaires_et_ariennes_par_processus_Markov_objets/links/00463519e05ebd9e83000000.pdf?disableCoverPage=true}, |
keyword |
= |
{} |
} |
|
32 - Droplet Shapes for a Class of Models in Z^2 at Zero Temperature. X. Descombes and E. Pechersky. Journal of Statistical Physics, 111(1-2): pages 129--169, 2003.
@ARTICLE{descombesEP,
|
author |
= |
{Descombes, X. and Pechersky, E.}, |
title |
= |
{Droplet Shapes for a Class of Models in Z^2 at Zero Temperature}, |
year |
= |
{2003}, |
journal |
= |
{Journal of Statistical Physics}, |
volume |
= |
{111}, |
number |
= |
{1-2}, |
pages |
= |
{129--169}, |
pdf |
= |
{http://link.springer.com/article/10.1023/A%3A1022252923753}, |
keyword |
= |
{} |
} |
|
33 - Classification de Textures Hyperspectrales Fondée sur un Modèle Markovien et Une Technique de Poursuite de Projection. G. Rellier and X. Descombes and F. Falzon and J. Zerubia. Traitement du Signal, 20(1): pages 25--42, 2003.
@ARTICLE{rellierXDFFJZ,
|
author |
= |
{Rellier, G. and Descombes, X. and Falzon, F. and Zerubia, J.}, |
title |
= |
{Classification de Textures Hyperspectrales Fondée sur un Modèle Markovien et Une Technique de Poursuite de Projection}, |
year |
= |
{2003}, |
journal |
= |
{Traitement du Signal}, |
volume |
= |
{20}, |
number |
= |
{1}, |
pages |
= |
{25--42}, |
url |
= |
{http://documents.irevues.inist.fr/handle/2042/2216}, |
keyword |
= |
{} |
} |
|
34 - Marked Point Processes in Image Analysis. X. Descombes and J. Zerubia. IEEE Signal Processing Magazine, 19(5): pages 77-84, September 2002.
@ARTICLE{XDJZ,
|
author |
= |
{Descombes, X. and Zerubia, J.}, |
title |
= |
{Marked Point Processes in Image Analysis}, |
year |
= |
{2002}, |
month |
= |
{September}, |
journal |
= |
{IEEE Signal Processing Magazine}, |
volume |
= |
{19}, |
number |
= |
{5}, |
pages |
= |
{77-84}, |
pdf |
= |
{http://ieeexplore.ieee.org/iel5/79/22084/01028354.pdf?tp=&arnumber=1028354&isnumber=22084}, |
keyword |
= |
{} |
} |
|
35 - Local registration and deformation of a road cartographic database on a SPOT Satellite Image. G. Rellier and X. Descombes and J. Zerubia. Pattern Recognition, 35(10), 2002.
@ARTICLE{rellierXDJZ,
|
author |
= |
{Rellier, G. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Local registration and deformation of a road cartographic database on a SPOT Satellite Image}, |
year |
= |
{2002}, |
journal |
= |
{Pattern Recognition}, |
volume |
= |
{35}, |
number |
= |
{10}, |
url |
= |
{http://www.sciencedirect.com/science/article/pii/S0031320301001807}, |
keyword |
= |
{} |
} |
|
36 - A RJMCMC algorithm for object processes in image processing. X. Descombes and R. Stoica and L. Garcin and J. Zerubia. Monte Carlo Methods and Applications, 7(1-2): pages 149-156, 2001.
@ARTICLE{xd01c,
|
author |
= |
{Descombes, X. and Stoica, R. and Garcin, L. and Zerubia, J.}, |
title |
= |
{A RJMCMC algorithm for object processes in image processing}, |
year |
= |
{2001}, |
journal |
= |
{Monte Carlo Methods and Applications}, |
volume |
= |
{7}, |
number |
= |
{1-2}, |
pages |
= |
{149-156}, |
url |
= |
{http://www.degruyter.com/view/j/mcma.2001.7.issue-1-2/mcma.2001.7.1-2.149/mcma.2001.7.1-2.149.xml}, |
keyword |
= |
{} |
} |
|
37 - Mise en correspondance et recalage de graphes~: application aux réseaux routiers extraits d'un couple carte/image. C. Hivernat and X. Descombes and S. Randriamasy and J. Zerubia. Traitement du Signal, 17(1): pages 21-32, 2000.
@ARTICLE{xd00,
|
author |
= |
{Hivernat, C. and Descombes, X. and Randriamasy, S. and Zerubia, J.}, |
title |
= |
{Mise en correspondance et recalage de graphes~: application aux réseaux routiers extraits d'un couple carte/image}, |
year |
= |
{2000}, |
journal |
= |
{Traitement du Signal}, |
volume |
= |
{17}, |
number |
= |
{1}, |
pages |
= |
{21-32}, |
url |
= |
{http://documents.irevues.inist.fr/handle/2042/2129}, |
keyword |
= |
{} |
} |
|
38 - Texture analysis through a Markovian modelling and fuzzy classification: Application to urban area Extraction from Satellite Images. A. Lorette and X. Descombes and J. Zerubia. International Journal of Computer Vision, 36(3): pages 221-236, 2000.
@ARTICLE{xd00a,
|
author |
= |
{Lorette, A. and Descombes, X. and Zerubia, J.}, |
title |
= |
{Texture analysis through a Markovian modelling and fuzzy classification: Application to urban area Extraction from Satellite Images}, |
year |
= |
{2000}, |
journal |
= |
{International Journal of Computer Vision}, |
volume |
= |
{36}, |
number |
= |
{3}, |
pages |
= |
{221-236}, |
url |
= |
{http://dx.doi.org/10.1023/A:1008129103384}, |
pdf |
= |
{http://dx.doi.org/10.1023/A:1008129103384}, |
keyword |
= |
{} |
} |
|
39 - Comparison of Filtering Methods for fMRI Datasets. F. Kruggel and Y. Von Cramon and X. Descombes. NeuroImage, 10(5): pages 530-543, November 1999.
@ARTICLE{xd99d,
|
author |
= |
{Kruggel, F. and Von Cramon, Y. and Descombes, X.}, |
title |
= |
{Comparison of Filtering Methods for fMRI Datasets}, |
year |
= |
{1999}, |
month |
= |
{November}, |
journal |
= |
{NeuroImage}, |
volume |
= |
{10}, |
number |
= |
{5}, |
pages |
= |
{530-543}, |
url |
= |
{http://www.sciencedirect.com/science/article/pii/S1053811999904901}, |
keyword |
= |
{} |
} |
|
40 - Estimation of Markov Random Field prior parameters using Markov chain Monte Carlo Maximum Likelihood. X. Descombes and R. Morris and J. Zerubia and M. Berthod. IEEE Trans. Image Processing, 8(7): pages 954-963, July 1999. Keywords : Markov processes, Monte Carlo methods, Potts model, Image segmentation, Maximum likelihood estimation .
@ARTICLE{xd99c,
|
author |
= |
{Descombes, X. and Morris, R. and Zerubia, J. and Berthod, M.}, |
title |
= |
{Estimation of Markov Random Field prior parameters using Markov chain Monte Carlo Maximum Likelihood}, |
year |
= |
{1999}, |
month |
= |
{July}, |
journal |
= |
{IEEE Trans. Image Processing}, |
volume |
= |
{8}, |
number |
= |
{7}, |
pages |
= |
{954-963}, |
pdf |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=16772&arnumber=772239&count=14&index=6}, |
keyword |
= |
{Markov processes, Monte Carlo methods, Potts model, Image segmentation, Maximum likelihood estimation } |
} |
Abstract :
Developments in statistics now allow maximum likelihood estimators for the parameters of Markov random fields (MRFs) to be constructed. We detail the theory required, and present an algorithm that is easily implemented and practical in terms of computation time. We demonstrate this algorithm on three MRF models-the standard Potts model, an inhomogeneous variation of the Potts model, and a long-range interaction model, better adapted to modeling real-world images. We estimate the parameters from a synthetic and a real image, and then resynthesize the models to demonstrate which features of the image have been captured by the model. Segmentations are computed based on the estimated parameters and conclusions drawn. |
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