SPOT stereo matching for digitial terrain model generation, Proc. of 2nd Swiss Symposium on Pattern Recognition and Computer Vision, pp.61-72, 1993. ,
Improving stochastic relaxation for Gaussian random fields, Probability in the Engineering and Informational Sciences, pp.369-389, 1990. ,
Stochastic Models, Statistical Methods and Algorithms in Image Analysis, Lecture Notes in Statist, vol.74, 1992. ,
DOI : 10.1007/978-1-4612-2920-9
Over-relaxation methods and coupled Markov chains for Monte Carlo simulation, Statistics and Computing, vol.12, issue.1, pp.17-26, 2002. ,
DOI : 10.1023/A:1013112103963
A Bayesian Approach to the Stereo Correspondence Problem, 1993. ,
A Bayesian approach to binocular steropsis, International Journal of Computer Vision, vol.61, issue.2, pp.237-262, 1996. ,
DOI : 10.1007/BF00055146
Spatial interaction and the statistical analysis of lattice systems (with discussion), J. Roy. Statist. Soc. Ser. B, vol.36, pp.192-326, 1974. ,
On the statistical analysis of dirty pictures (with discussion), J. Roy. Statist. Soc. Ser. B, vol.48, pp.259-302, 1986. ,
Comments on Representations of knowledge in complex systems " by U. Grenander and M.I. Miller, J. Roy. Statist. Soc. Ser. B, vol.56, 1994. ,
Bayesian Computation and Stochastic Systems, Statistical Science, vol.10, issue.1, pp.3-66, 1995. ,
DOI : 10.1214/ss/1177010123
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.27.8854
On the estimation and testing of spatial interaction in Gaussian lattice processes, Biometrika, vol.62, issue.3, pp.555-562, 1975. ,
DOI : 10.1093/biomet/62.3.555
Bayesian image restoration, with two applications in spatial statistics, Annals of the Institute of Statistical Mathematics, vol.74, issue.1, pp.1-59, 1991. ,
DOI : 10.1007/BF00116466
Error Analysis in Stereo Determination of 3-D Point Positions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.9, issue.6, pp.752-765, 1987. ,
DOI : 10.1109/TPAMI.1987.4767982
Assessing convergence of Markov chain Monte Carlo algorithms, Statistics and Computing, vol.8, issue.4, pp.319-335, 1998. ,
DOI : 10.1023/A:1008820505350
Recognition and reduction of systematic errors in elevation and derivative surfaces from, 1971. ,
The SEM algorithm : a probabilistic teacher algorithm derived from the EM algorithm for the mixture problem, Comput. Statist. Quater, vol.2, pp.73-82, 1985. ,
An iterative Gibbsian technique for reconstruction of m-ary images, Pattern Recognition, vol.22, issue.6, pp.747-761, 1989. ,
DOI : 10.1016/0031-3203(89)90011-3
Multiresolution stereo-a Bayesian approach, [1990] Proceedings. 10th International Conference on Pattern Recognition, pp.908-912, 1990. ,
DOI : 10.1109/ICPR.1990.118239
How to adapt kriging to non-classical problems : three casestudies, Advanced Geostatistics in the Mining Industry, pp.69-89, 1976. ,
Le krigeage : méthode de cartographie des fonds marins. Revue hydrographique internationale, pp.29-45, 1975. ,
Using FFT techniques for simulating Gaussian random fields, Proceedings of the Conference on Mining Geostatistics, pp.131-140, 1994. ,
Discrete exact simulation by the Fourier method, Geostatistics Wallagong '96, pp.258-269, 1997. ,
Geostatistics : Modeling Spatial Uncertainty, 1999. ,
A simulation approach to convergence rates for Markov chain Monte Carlo algorithms, Statistics and Computing, vol.8, issue.2, pp.115-124, 1998. ,
DOI : 10.1023/A:1008982016666
A maximum likelihood n-camera stereo algorithm Feature correspondence : A Markov chain Monte Carlo approach, International Conference on Computer Vision and Pattern Recognition Advances in Neural Information Processing Systems 13, pp.733-739, 1994. ,
DOI : 10.1109/cvpr.1994.323889
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.2692
Distribution du maximum d'un champ aléatoire et applications statistiques, 2001. ,
Vision stéréoscopique et propriétés différentielles des surfaces, 1997. ,
Structure from stereo-a review, IEEE Transactions on Systems, Man, and Cybernetics, vol.19, issue.6, pp.1489-1510, 1989. ,
DOI : 10.1109/21.44067
A Bayesian Estimation of Building Shape Using MCMC, European Conference on Computer Vision, pp.852-866 ,
DOI : 10.1007/3-540-47967-8_57
Asymptotic properties of a stochastic EM algorithm for estimating mixture proportions. Stochastic Models, pp.599-613, 1993. ,
Stochastic EM : method and application, Markov Chain Monte Carlo in Practice, pp.259-274, 1996. ,
Three-Dimensional Computer Vision, 1993. ,
First experiments in viewshed uncertainty : The accuracy of the viewshed area, Photogrammetric Engineering and Remote Sensing, vol.57, issue.10, pp.1321-1327, 1991. ,
Improved modeling of elevation error with geostatistics, GeoInformatica, vol.2, issue.3, pp.215-233, 1998. ,
DOI : 10.1023/A:1009717704255
Uncertainty in Remote Sensing and GIS, 2002. ,
DOI : 10.1002/0470035269
Bayesian structure from motion, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.660-665, 1999. ,
DOI : 10.1109/ICCV.1999.791288
Pratique des bandes tournantesàtournantes`tournantesà 3D, Compte rendu des Journées de Géostatistique, pp.101-117, 1991. ,
A parallel stereo algorithm that produces dense depth maps and preserves image features. Machine Vision and Applications, pp.35-49, 1993. ,
URL : https://hal.archives-ouvertes.fr/inria-00075191
Convergence of the Gibbs sampler algorithm in the Gaussian case, Mathematical Geology, vol.32, issue.6, pp.653-677, 2001. ,
Building detection by Markov object processes, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001. ,
DOI : 10.1109/ICIP.2001.958555
URL : https://hal.archives-ouvertes.fr/inria-00072416
Inference and monitoring convergence, Markov Chain Monte Carlo in Practice, pp.115-130, 1996. ,
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, issue.6, pp.721-741, 1984. ,
Markov Chain Monte Carlo in Practice, 1996. ,
Strategies for improving MCMC, Markov Chain Monte Carlo in Practice, pp.89-114, 1996. ,
MCMC in image analysis, Markov Chain Monte Carlo in Practice, pp.381-400, 1996. ,
A Primer on Markov Chain Monte Carlo, Complex Stochastic Systems, pp.1-62, 2001. ,
DOI : 10.1201/9781420035988.ch1
Metropolis Methods, Gaussian Proposals and Antithetic Variables, Stochastic Models, pp.142-164, 1992. ,
DOI : 10.1007/978-1-4612-2920-9_10
Linear pushbroom cameras, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.9, 1997. ,
DOI : 10.1109/34.615446
Random Fields on a Network : Modeling, Statistics and Applications, 1995. ,
Méthodes numériques par cha??nescha??nes de Markov, 1999. ,
Error detection and correction in Digital Terrain Models Theory and practice of projective rectification, Photogrammetric Engineering and Remote Sensing International Journal of Computer Vision, vol.47, issue.352, pp.63-69115, 1981. ,
Monte Carlo sampling methods using Markov chains and their applications, Biometrika, vol.57, issue.1, pp.97-109, 1970. ,
DOI : 10.1093/biomet/57.1.97
Gradual deformation and iterative calibration of Gaussian-related stochastic models, Mathematical Geology, vol.32, issue.1, pp.87-108, 2000. ,
DOI : 10.1023/A:1007506918588
Combining dependent realizations within the gradual deformation method, Proceedings of the 2001 Annual Conference of the International Association for Mathematical Geology, 2001. ,
A stereo matching algorithm with an adaptive window : Theory and experiment, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.9, 1994. ,
Computing visual correspondence with occlusions using graph cuts, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.508-515, 2001. ,
DOI : 10.1109/ICCV.2001.937668
URL : http://ce.sharif.edu/~elno/disparitymap/Papers/KZ-ICCV01.pdf
Multi-camera Scene Reconstruction via Graph Cuts, European Conference on Computer Vision, pp.82-96, 2002. ,
DOI : 10.1007/3-540-47977-5_6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.8999
What energy functions can be minimized via graph cuts, European Conference on Computer Vision, pp.65-81, 2002. ,
DOI : 10.1007/3-540-47977-5_5
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1823
Rigorous photogrammetric processing of SPOT images at CCM Canada, ISPRS Journal of Photogrammetry and Remote Sensing, vol.44, issue.2, pp.53-71, 1989. ,
DOI : 10.1016/0924-2716(89)90007-5
Méthodes de Monte Carlo pour leséquations leséquations de transport et de diffusion, 1998. ,
Modeling the effect of data errors on feature extraction from digital elevation models, Photogrammetric Engineering and Remote Sensing, issue.10, pp.581461-1467, 1992. ,
Markov Random Field Modeling in Computer Visions, 1995. ,
DOI : 10.1007/978-4-431-66933-3
ON THE MEASURE OF DIGITAL TERRAIN MODEL ACCURACY, The Photogrammetric Record, vol.41, issue.1, pp.873-877, 1988. ,
DOI : 10.1111/j.1477-9730.1988.tb00636.x
A comparative study of the accuracy of digital terrain models (DTMs) based on various data models, ISPRS Journal of Photogrammetry and Remote Sensing, vol.49, issue.1, pp.2-11, 1994. ,
DOI : 10.1016/0924-2716(94)90051-5
Adaptative window algorithm for aerial image stereo, Proceedings of the 12th International Conference on Pattern Recognition, pp.701-703, 1994. ,
Stereopsis : Geometrical and global aspects, Handbook of Computer Vision and Applications, pp.485-504, 1999. ,
The theory of regionalized variables, and its applications, Cahiers du centre de Morphologie Mathématique ,
The intrinsic random functions and their applications, Advances in Applied Probability, vol.98, issue.03, pp.439-468, 1973. ,
DOI : 10.1017/S0001867800039379
La destructuration des hautes teneurs et le krigeage des indicatrices, 1982. ,
Estimating and Choosing -An Essay on Probability in Practice, 1989. ,
MCMC convergence diagnostics : a " reviewww, Bayesian Statistics 6, pp.415-440, 1999. ,
Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1091, 1953. ,
DOI : 10.1063/1.1699114
Markov Chains and Stochastic Stability, 1993. ,
Annealed importance sampling, Statistics and Computing, vol.11, issue.2, pp.125-139, 2001. ,
DOI : 10.1023/A:1008923215028
Stereo by Intra- and Inter-Scanline Search Using Dynamic Programming, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.7, issue.2, pp.139-154, 1985. ,
DOI : 10.1109/TPAMI.1985.4767639
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.12.4704
Moving averages for Gaussian simulation in two and three dimensions, Mathematical Geology, vol.41, issue.no. 2, pp.939-960, 1995. ,
DOI : 10.1007/BF02091660
The Fourier Integral Method: An efficient spectral method for simulation of random fields, Mathematical Geology, vol.25, issue.2, pp.177-217, 1993. ,
DOI : 10.1007/BF00893272
Optimum Monte-Carlo sampling using Markov chains, Joint EC-EARSeL Expert Meeting on Fractals in Geosciences and Remote Sensing, pp.607-612, 1973. ,
DOI : 10.1093/biomet/60.3.607
Description of terrain as a fractal surface, and application to digital elevation model quality assessment, Photogrammetric Engineering and Remote Sensing, vol.57, issue.10, pp.1329-1332, 1991. ,
Boolean texture analysis and synthesis, Image analysis and Mathematical Morphology : Theoretical Advances, pp.377-400, 1988. ,
Sampling the conditional realization space using the gradual deformation method, 2000. ,
Restitution automatique du reliefàrelief`reliefà partir de couples d'images SPOT, 1991. ,
Stochastic Simulation, 1987. ,
DOI : 10.1002/9780470316726
Mixtures of distributions : inference and estimation, Markov Chain Monte Carlo in Practice, pp.441-464, 1996. ,
Discretization and MCMC Convergence Assessment, 1998. ,
DOI : 10.1007/978-1-4612-1716-9
Markov chain concepts related to sampling algorithms, Markov Chain Monte Carlo in Practice, pp.45-57, 1996. ,
On the geometric convergence of the Gibbs sampler, J. Roy. Statist. Soc. Ser. B, vol.56, issue.2, pp.377-384, 1994. ,
Optimal scaling of discrete approximations to Langevin diffusions, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.60, issue.1, pp.255-268, 1998. ,
DOI : 10.1111/1467-9868.00123
Updating Schemes, Correlation Structure, Blocking and Parameterization for the Gibbs Sampler, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.59, issue.2, pp.291-317, 1997. ,
DOI : 10.1111/1467-9868.00070
Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms, Stochastic Processes and their Applications, pp.207-216, 1994. ,
DOI : 10.1016/0304-4149(94)90134-1
Exponential Convergence of Langevin Distributions and Their Discrete Approximations, Bernoulli, vol.2, issue.4, pp.341-364, 1996. ,
DOI : 10.2307/3318418
Geometric convergence and central limit theorems for multidimensional Hastings and Metropolis algorithms, Biometrika, vol.83, issue.1, pp.95-110, 1996. ,
DOI : 10.1093/biomet/83.1.95
Stochastic analysis of stereo quantization error, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.5, pp.467-470, 1990. ,
DOI : 10.1109/34.55106
Stereo matching with non-linear diffusion, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.343-350, 1996. ,
DOI : 10.1109/CVPR.1996.517095
Stereo matching with nonlinear diffusion, International Journal of Computer Vision, vol.28, issue.2, pp.155-174, 1998. ,
DOI : 10.1023/A:1008015117424
A taxonomy and evaluation of dense twoframe stereo correspondence algorithm, International Journal of Computer Vision, vol.47, issue.1/3, pp.7-42, 2002. ,
DOI : 10.1023/A:1014573219977
Geostatistical analysis of stereoscopic pairs of satellite images, 2001. ,
A Markov chain Monte Carlo approach to stereovision, European Conference on Computer Vision, pp.97-111, 2002. ,
Spatial simulations with Markov chains, 8th Annual Conference of the International Association for Mathematical Geology, pp.191-196, 2002. ,
Geostatistical analysis of stereoscopic pairs of satellite images, Proceedings of the Third European Conference on Geostatistics for Environmental Applications, pp.527-528, 2000. ,
Conditional simulations applied to uncertainty assessment in DTMs, Uncertainty in Remote Sensing and GIS. Wiley and Sons, 2002. ,
Monte Carlo methods in stereovision, Proceedings of the 6th Joint Conference on Information Sciences, pp.885-889, 2002. ,
Boolean random functions, Image analysis and Mathematical Morphology : Theoretical Advances, pp.317-342, 1988. ,
DOI : 10.1111/j.1365-2818.1989.tb02905.x
Road extraction in remote sensed images using a stochastic geometry framework Geometric and subgeometric convergence of diffusions with given stationary distributions, and their discretizations, Proceedings of MaxEnt'00, 1997. ,
Bayesian Modeling of Uncertainty in Low-level Vision, 1989. ,
DOI : 10.1007/978-1-4613-1637-4
Accuracy of spatial data used in geographic information systems, Photogrammetric Engineering and Remote Sensing, vol.58, issue.6, pp.835-841, 1992. ,
Introduction to general state-space Markov chain theory, Markov Chain Monte Carlo in Practice, pp.59-74, 1996. ,
Markov chains: Structure and applications, Handbook of Statistics, vol.19, pp.817-851, 1998. ,
DOI : 10.1016/S0169-7161(01)19025-5
The Nature of Statistical Learning Theory, 1995. ,
Image Analysis, Random Fields and Dynamic Monte Carlo Methods, Applications of Mathematics, vol.27, 1995. ,
DOI : 10.1007/978-3-642-97522-6
Correlation Theory of Stationary and Related Random Functions I, 1987. ,
Correlation Theory of Stationary and Related Random Functions II, 1987. ,
Fractal-based analysis and interpolation of 3D natural surface shapes and their application to terrain modeling, Computer Vision, Graphics, and Image Processing, vol.46, issue.3, pp.284-302, 1989. ,
DOI : 10.1016/0734-189X(89)90034-0