. Dans-les-tableaux-suivants, nous donnons les couples d'images ainsi que : ? La carte de disparités ? Plus le pixel est clair, plus la disparité estélevéeestélevée et les pixels noirs sont les pixels de l'image gauche occultés dans l'image droite

E. H. Adelson, C. H. Anderson, J. R. Bergen, P. J. Burt, and J. M. Ogden, Pyramid methods in image processing. Radio Corporation of America, RCA Engineer, vol.29, issue.6, pp.33-41, 1984.

]. J. Aggarwal-88, N. Aggarwal, and . Nandhakumar, On the computation of motion from sequences of images-A review, Proceedings of the IEEE, vol.76, issue.8, pp.917-935, 1988.
DOI : 10.1109/5.5965

M. Agrawal and L. Davis, Window-based, discontinuity preserving stereo, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.66-73
DOI : 10.1109/CVPR.2004.1315015

L. Alvarez, R. Deriche, J. Sánchez, and J. Weickert, Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach, Journal of Visual Communication and Image Representation, vol.13, issue.1-2, 2000.
DOI : 10.1006/jvci.2001.0482

URL : https://hal.archives-ouvertes.fr/inria-00072780

L. Alvarez, R. Deriche, T. Papadopoulos, and J. Sánchez, Symmetrical Dense Optical Flow Estimation with Occlusions Detection, European Conference on Computer Vision, ECCV, pp.721-735, 2002.
URL : https://hal.archives-ouvertes.fr/inria-00427151

P. Arcara, L. D. Stefano, S. Mattocia, C. Melchiorri, and G. Vassura, Perception of depth information by means of a wire-actuated haptic interface, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2000.
DOI : 10.1109/ROBOT.2000.845258

X. Armangué and J. Salvi, Overall view regarding fundamental matrix estimation, Image and Vision Computing, vol.21, issue.2, pp.205-220, 2003.
DOI : 10.1016/S0262-8856(02)00154-3

]. P. Aschwanden-92, W. Aschwanden, and . Guggenbül, Experimental results from a comparative study on correlation type registration algorithms Robust computer vision: Quality of Vision Algorithms, pp.268-282, 1992.

C. Baillard and O. Dissard, A stereo matching algorithm for urban digital elevation models, Photogrammetric Engineering and Remote Sensing, vol.66, issue.9, pp.1119-1128, 2000.

M. Bennamoun, Reliability Analysis of the Rank Transform for Stereo Matching, IEEE Transactions on Systems, Man and Cybernetics SMC, issue.6, pp.31870-880, 2001.

S. T. Barnard, Stochastic stereo matching over scale, International Journal of Computer Vision, vol.235, issue.1, pp.17-32, 1989.
DOI : 10.1007/BF00054836

P. N. Bibliographie, D. Belhumeur, and . Mumford, A Bayesian Treatment of the Stereo Correspondence Problem Using Half-Occluded Regions, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.506-512, 1992.

R. E. Bellman and S. E. Dreyfus, La programmation dynamique et ses applications, Dunod, 1962.

S. Benhimane and E. Malis, Mise en correspondance d'imagesàimages`imagesà différentes résolutionsrésolutions`résolutionsà l'aide d'invariants aux paramètres intrinsèques, actes du Congrès AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, pp.585-594, 2004.

D. N. Bhat and S. K. Nayar, Ordinal measures for image correspondence, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.4, pp.415-423, 1998.
DOI : 10.1109/34.677275

S. Birchfield and C. Tomasi, Depth discontinuities by pixel-to-pixel stereo, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.1073-1080, 1998.
DOI : 10.1109/ICCV.1998.710850

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.2831

S. Birchfield and C. Tomasi, Multiway cut for stereo and motion with slanted surfaces, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.489-495, 1999.
DOI : 10.1109/ICCV.1999.791261

H. Bischof, E. Bertin, and P. Bertolline, Voronoi pyramids and Hopfield networks, Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), pp.330-333, 1994.
DOI : 10.1109/ICPR.1994.577192

]. M. Black and P. Anandan, A framework for the robust estimation of optical flow, 1993 (4th) International Conference on Computer Vision, pp.231-236, 1993.
DOI : 10.1109/ICCV.1993.378214

]. M. Black and A. Jepson, Estimating multiple independent motions in segmented images using parametric models with local deformations, Proceedings of 1994 IEEE Workshop on Motion of Non-rigid and Articulated Objects, 1994.
DOI : 10.1109/MNRAO.1994.346232

]. M. Black and A. Rangarajan, On the unification of line processes, outlier rejection, and robust statistics with applications in early vision, International Journal of Computer Vision, vol.8, issue.4, pp.57-91, 1996.
DOI : 10.1007/BF00131148

A. Blake and M. Isard, Active contours: The application of techniques from graphics, vision, control theory and statistics to visual tracking of shapes in motion, 1998.
DOI : 10.1007/978-1-4471-1555-7

M. Bleyer and M. Gelautz, A layered stereo algorithm using image segmentation and global visibility constraints, IEEE Conference Proceedings of International Conference on Image Processing, pp.2997-3000, 2004.

M. Bleyer and M. Gelautz, Graph-based surface reconstruction from stereo pairs using image segmentation. Dans Videometrics VIII, volume SPIE?5665, pp.288-299, 2005.

B. Bocquillon, S. Chambon, and A. Crouzil, Obtention de la vérité terrain pour la mise en correspondance stéréoscopique Segmentation semi-automatique en plans pour la génération de cartes denses de disparités, CD-ROM, 2004.

B. Bocquillon, S. Chambon, A. Crouzil, R. C. Bolles, H. H. Baker et al., Segmentation semi-automatique en plans pour la génération de cartes denses de disparités Rapport de recherche 2005-23-R, The JISCT Stereo Evaluation. Dans ARPA Image Understanding Workshop, pp.263-274, 1993.

B. S. Boufama, D. O-'connell, V. Eruhimov, S. Molinov, V. Mosyagin et al., Region Segmentation and Matching of Planes in a Pair of Uncalibrated Images Fast and robust dense stereo correspondence by column segmentation, IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR IEEE Conference Proceedings of International Conference on Image Processing, ICIP, pp.631-634, 2002.

O. Boykov, R. Veksler, . P. Zabih-]-j, L. Braquelaire, and . Brun, Fast approximate energy minimization via graph cuts Comparison and optimization of methods of color image quantization, Brigger 99] P. Brigger, F. Müller, K. Illgner et M. Unser. Centered Pyramids Hund et B. Mertsching. A Fast Cost Relaxation Stereo Algorithm with Occlusion Detection for Mobile Robot Applications. Dans proceedings of Vision, Modeling and Vizualisation Conference, VMVC, pp.1222-12391048, 1997.

R. Brockers, M. Hund, and B. Mertsching, Fast Stereo Vision for Mobile Robots by Global Minima of Cost Functions. Dans proceedings of Vision, Modeling and Vizualisation Conference, VMVC, Advances in Computational Stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, pp.85-89, 2003.

L. Brun, Segmentation d'imagesàimages`imagesà base topologique, Thèse de doctorat, 1996.
URL : https://hal.archives-ouvertes.fr/tel-00329494

J. Buessler, J. Urban, G. Hermann, H. Kihl, P. J. Burt et al., Colour Histogram Algorithms for Visual Robot Control The Laplacian Pyramid as a Compact Image Code, International Journal of Robotics and Automation, IJRA IEEE Transactions on Communications, vol.20, issue.24, pp.86-93, 1983.

L. Busin, N. Vandenbroucke, L. Macaire, and J. Postaire, Color Space Selection for Unsupervised Colour Image Segmentation by Analysis of Connectedness Properties [Canny 86] J. F. Canny. A computational approach to edge detection, Carneiro et A. D. Jepson. Pruning Local Feature Correspondences Using Shape Context IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, pp.70-77679, 1986.

]. T. Bibliographie, S. Carron, B. Chabrier, H. Emile, C. Laurent et al., Segmentation d'images couleur dans la base Teinte Luminance Saturation : approche numérique et symbolique Unsupervised Evaluation of Image Segmentation ? Application to Multi-Spectral Images, Thèse de doctorat IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, pp.576-579, 1995.

S. Chambon, A. Crouzil, S. Chambon, and A. Crouzil, Mise en correspondance par corrélation avec détection des zones d'occultation. Rapport de recherche 2004-31-R Towards correlation-based matching algorithms that are robust near occlusions, IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPRChambon 05] S. Chambon et A. Crouzil. Colour Correlation-Based Matching, pp.635-659, 1998.

Q. Chen and G. Medioni, A Volumetric Stereo Matching Method: Application to Image- Based Modeling, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.1029-1034, 1999.

C. Chen, Y. Chen, and . Chen, Fast algorithm for robust template matching with m-estimators, IEEE Transactions on Signal Processing, vol.51, issue.1, pp.230-243, 2003.
DOI : 10.1109/TSP.2002.806551

S. Cheng and . Hsia, Fast algorithms for color image processing by principal component analysis, Journal of Visual Communication and Image Representation, vol.14, issue.2, pp.14184-203, 2003.
DOI : 10.1016/S1047-3203(03)00024-5

]. S. Cochran and G. Médioni, 3-D surface description from binocular stereo, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.10, pp.14981-994, 1992.
DOI : 10.1109/34.159902

]. R. Collins, A space-sweep approach to true multi-image matching Distribution free decomposition of multivariate data. Pattern Analysis and Applications, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR Etats-Unis, juin 1996. [Comaniciu 99] D. Comaniciu et P. MeerCoquin 02] D. Coquin, P. Bolon et B. Ionescu. Dissimilarity Measures in Color Spaces IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPRCord 98] M. Cord, N. Paparoditis et M. Jordan. Dense, reliable and depth discontinuity preserving DEM computation from HRV urban stereopairs. International Archives of Photogrammetry and Remote Sensing, pp.358-36322, 1998.

I. J. Cox, Stereo without Disparity Gradient Smoothing: a Bayesian Sensor Fusion Solution, Machine Vision Conference, BMVC, pp.337-346, 1992.

]. G. Cox, Template matching and measures of match in image processing, 1995.

]. I. Cox, S. L. Hingorani, S. B. Rao, B. M. Maggs, A. Criminisi et al., A Maximum Likelihood Stereo Algorithm Efficient densestereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing. Rapport technique MSR-TR-2003-59 Efficient densestereo with occlusions and new view synthesis by four state DP for gaze correction Castan. A New Correlation Criterion Based on Gradient Fields Similarity, IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, pp.631271-1281, 1996.

A. Crouzil, X. Descombes, J. Durou, R. Cucchiara, C. Grana et al., A Multiresolution Approach for Shape from Shading Coupling Deterministic and Stochastic Optimization Probabilistic People Tracking for Occlusion Handling A Comparative Study of Performance and Implementation of Some Area-Based Stereo Algorithms, IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR International Conference on Computer Analysis of Images and Patterns, CAIPCyganek 03] B. Cyganek et J. Borgosz. An Improved Variogram Analysis of the Maximum Expected Disparity in Stereo Images. Dans proceedings of Scandinavian Conference on Image Analysis, pp.251416-1421, 2001.

A. Dante, M. Brookes, and A. G. Constantinides, Robust multi-body segmentation, Procedings of the British Machine Vision Conference 2003, pp.669-678, 2003.
DOI : 10.5244/C.17.68

]. L. Davis and A. Rosenfeld, Cooperating processes for low-level vision: A survey, Artificial Intelligence, vol.17, issue.1-3, pp.1-3245, 1981.
DOI : 10.1016/0004-3702(81)90026-6

Z. Z. Davis, D. M. Karu, and . Freeman, Equivalence of subpixel motion estimators based on optical flow and block matching, Proceedings of International Symposium on Computer Vision, ISCV, pp.7-12, 1995.
DOI : 10.1109/ISCV.1995.476969

]. O. Joinville-00, H. De-joinville, D. Ma??trema??tre, M. Piquet-pellorce, and . Roux, How to Design DEM Assessment Maps, proceedings of International Workshop on Pattern Recognition in Remote Sensing, 2000.

O. De-joinville, G. Maillet, H. Ma??trema??tre, and M. Roux, ´ Evaluation a priori de la qualité d'un MNS. Dans actes du congrès francophone de Vision par Ordinateur, ORASIS, pp.67-76, 2001.

Q. Deng, X. Yang, X. Lin, and . Tang, A symmetric patch-based correspondence model for occlusion handling, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2004.
DOI : 10.1109/ICCV.2005.23

F. Devernay, F. Devernay, O. Bantiche, and E. Coste, Vision stéréoscopique et propriétés différentielles des surfaces Structured light on dynamic scenes using standard stereoscopy algorithms, Thèse de doctorat, Institut National Polytechnique, INP, 1997.

F. Devernay, O. Faugeras, U. R. Dhond, and J. K. Aggarwal, Shape from Stereo Using Fine Correlation: Method and Error Analysis Stereo Matching in the Presence of Narrow Occluding Objects Using Dynamic Disparity Search, International Journal of Image and Vision Computing IVC IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.PAMI, issue.7, pp.17719-724, 1995.

L. , D. Stefano, S. Mattocia, G. Neri, and D. Piccinini, Temporal Filtering of Diparity Measurements, proceedings of International Conference on Image Analysis and Processing, ICIAP, pp.145-150, 2001.

L. , D. Stefano, M. Marchionni, S. Mattocia, and G. Neri, A Fast Area-Based Stereo Matching Algorithm, proceedings of International Conference on Vision Interface, VI, pp.146-153, 2002.

[. Stefano and S. Mattocia, Fast template matching using bounded partial correlation, International Journal of Machine Vision and Applications MVA, vol.13, issue.4, pp.213-221, 2003.

S. and D. Zenzo, A note on the gradient of a multi-image, Computer Vision, Graphics, and Image Processing, pp.116-125, 1986.
DOI : 10.1016/0734-189X(86)90223-9

D. , G. Lacey-dufournaud, C. Schmid, and R. Horaud, Colour Profiling Using Multiple Colour Spaces Royaume-Uni, septembre 1998 Matching Images with Different Resolutions, Machine Vision Conference, BMVC IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.245-256, 2000.

]. G. Egnal and R. P. Wildes, Detecting binocular half-occlusions: empirical comparisons of four approaches, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.466-473, 2000.
DOI : 10.1109/CVPR.2000.854883

]. G. Egnal and R. P. Wildes, Detecting binocular half-occlusions: empirical comparisons of five approaches, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.8, pp.241127-1133, 2002.
DOI : 10.1109/TPAMI.2002.1023808

M. Ehlers and R. Welch, Stereo-Correlation of Landsat-TM Images, Photogrammetric Engineering and Remote Sensing, vol.53, issue.9, pp.1321-1237, 1986.

M. P. Eklund, A. A. Farag, P. Fua, B. Hotz, R. Ma et al., [Faghihi 02] R. Faghihi. Mise en correspondance SPECT-CT par conditions de consistance [Falkenhagen 97] L. Falkenhagen. Hierarchical Block-Based Disparity Estimation Considering Neighbourhood Constraints. Dans International Workshop on Synthetic-Natural Hybrid Coding and 3D Imaging, Rhodes, Grèce, septembre 1997. [Faugeras 79] O. Faugeras. Digital Color Image Processing Within the Framework of a Human Visual Model, Scandinavian Conference on Image Analysis, SCIA Thèse de doctorat Thonnat et Z. Zhang. Quantitative and Qualitative Comparison of Some Area and Feature-based Stereo Algorithms. Dans Förstner et Ruwiedel, ´ editeurs, Robust computer vision: Quality of Vision AlgorithmsFaugeras 93] O. Faugeras, B. Hotz, Z. Zhang et P. Fua. Real time correlation-based stereo : Algorithm, implementation and applications. Rapport de recherche RR-2013, Institut National de Recherche en Informatique et en Automatique, pp.171059-1079, 1992.

V. Ferrari, T. Tuytelaars, and L. Van-gool, Wide-baseline multiple-view correspondences, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., pp.718-725, 2003.
DOI : 10.1109/CVPR.2003.1211424

M. Fielding, D. J. Kam, A. D. Fleet, M. R. Jepson, and . Jenkin, Weighted matchings for dense stereo correspondence, Phase-Based Disparity Measurement. Computer Vision, Graphics, and Image Processing: Image Understanding, CVGIP, pp.1511-1524, 1991.
DOI : 10.1016/S0031-3203(99)00132-6

G. D. Forney, S. Forstmann, Y. Kanou, J. Ohya, S. Thuering et al., The viterbi algorithm, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.268-278, 1973.
DOI : 10.1109/PROC.1973.9030

T. Frohlinghaus and J. M. Buhmann, Regularizing phase-based stereo, Proceedings of 13th International Conference on Pattern Recognition, pp.451-455, 1996.
DOI : 10.1109/ICPR.1996.546067

. Bibliographie, Combining Stereo and Monocular Information to Compute Dense Depth Maps that Preserve Depth Discontinuities Fua. A parallel stereo algorithm that produces dense depth maps and preserves image features, Dans proceedings of International Joint Conference on Artificial Intelligence, IJAI, pp.1292-129835, 1993.

. A. France, V. Fusiello, E. Roberto, A. Trucco, V. Fusiello et al., images aériennes stéréoscopiquesstéréoscopiques`stéréoscopiquesà grandé echelle. ´ Etude d'une approche structurelle Efficient Stereo with Multiple Windowing Experiments with a New Area-Based Stereo Algorithm, Thèse de doctorat IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR proceedings of International Conference on Image Analysis and Processing, pp.858-863, 1997.

A. Fusiello, E. Trucco, T. Tommasini, V. A. Roberto, E. Fusiello et al., Improving Feature Tracking with Robust Statistics A compact algorithm for rectification of stereo pairs, Pattern Analysis and Applications, PAA International Journal of Machine Vision and Applications MVA, vol.2, issue.121, pp.312-32016, 1979.

C. Garbay, F. Brugal, and C. Choquet, Application of Colored Image Analysis to Bone Marrow Cell Recognition, Analytical and Quantitative Cytology, vol.3, issue.4, pp.272-280, 1981.

]. D. Garcia-01a and . Garcia, Mesures de formes et de champs de déplacements tridimensionnels par stéréo-corrélation d'images, Thèse de doctorat, 2001.

]. D. Garcia-01b, J. Garcia, and . Orteu, 3D Deformation Measurement using Stereo-correlation applied to Experimental Mechanics, International Symposium on Deformation Measurements, pp.50-60, 2001.

]. R. Garcia-01c, X. Garcia, J. Cufi, and . Batle, Detection of matchings in a sequence of underwater images through texture analysis, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), pp.361-364, 2001.
DOI : 10.1109/ICIP.2001.959028

D. Garcia, J. Orteu, and L. Penazzi, A Combined Temporal Tracking and Stereocorrelation Technique for Accurate Measurement of 3D Displacements: Application to Sheet Metal Forming, Journal of Materials Processing Technology, pp.125-126736, 2002.

]. D. Geiger, B. Ladendorf, and A. Yuille, Occlusions and Binocular Stereo, IEEE Conference Proceedings of International Conference on Image Processing, pp.211-226, 1995.

S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, vol.6, issue.6, pp.721-741, 1984.

T. Gevers, A. W. Smeulders, and H. Stokman, Photometric Invariant Region Detection, Procedings of the British Machine Vision Conference 1998, pp.578-589, 1998.
DOI : 10.5244/C.12.66

L. and G. Brown, A survey of image registration techniques, ACM Computing Surveys, vol.24, issue.4, pp.325-376, 1992.
DOI : 10.1145/146370.146374

V. Gouet, P. Montesinos, and D. Pel, A Fast Matching Method for Color Uncalibrated Images using Differential Invariants, Procedings of the British Machine Vision Conference 1998, pp.367-376, 1998.
DOI : 10.5244/C.12.37

V. Gouet, P. Montesinos, R. Deriche, and D. Pelé, ´ Evaluation de détecteurs de points d'intérêt pour la couleur, actes du Congrès AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, pp.257-266, 2000.

I. V. Gribkov, P. P. Kol-'tsov, A. A. Kravchenko, A. S. Kutsaev, V. K. Nikolaev et al., PICASSO?The System for Evaluating Edge-Detection Algorithms, Pattern Recognition and Image Analysis, issue.2, pp.13208-210, 2003.

P. Gros, G. Maclean, R. Delon, R. Mohr, C. Schmid et al., Utilisation de la couleur pour l'appariement et l'indexation d'images, 1997.
URL : https://hal.archives-ouvertes.fr/inria-00073420

L. Guisser, R. Payrissat, and S. Castan, PGSD: an accurate 3D vision system using a projected grid for surface descriptions, Image and Vision Computing, vol.18, issue.6-7, pp.18-24, 2000.
DOI : 10.1016/S0262-8856(99)00028-1

S. Gutiérrez and J. Luis-marroquín, Robust approach for disparity estimation in stereo vision, Image and Vision Computing, vol.22, issue.3, pp.183-195, 2004.
DOI : 10.1016/j.imavis.2003.08.006

M. Bibliographie, C. Gökstorp, and . Westelius, Multiresolution Differential-based Disparity Estimation, proceedings of Scandinavian Conference on Image Analysis, SCIA, pp.67-76, 1995.

K. Han, E. Song, S. Chung, Y. Cho, and . Ha, Stereo matching using genetic algorithm with adaptive chromosomes, Pattern Recognition, vol.34, issue.9, pp.341729-1740, 2001.
DOI : 10.1016/S0031-3203(00)00114-X

M. E. Hansen, J. M. Carstensen, and J. Y. Hardeberg, Color-Based Image Retrieval from High-Similarity Image Databases Acquisition and reproduction of colour images: colorimetric and multispectral approaches, Scandinavian Conference on Image Analysis, SCIA Thèse de doctorat, ´ Ecole Nationale Supérieure des Télécommunications, ENST Harris et M. Stephens. A Combined Corner and Edge Detector. Dans Alvey Vision Conference, pp.1098-1105, 1988.

]. R. Hartley-99 and . Hartley, Theory and Practice of Projective Rectification, International Journal of Computer Vision, vol.35, issue.2, pp.115-127
DOI : 10.1023/A:1008115206617

R. I. Hartley, A. Zisserman, D. Hasler, L. Sbaiz, S. Süsstrunk et al., Multiple view geometry in computer vision Outlier Modelling in Image Matching, Haxhimusa et W. G. Kropatsch. Paths Lengths in Stochastic Graph Image Pyramid. Dans proceedings of Workshop of the Austrian Association for Pattern Recognition, AAPR, pp.301-315, 2002.

H. Hirschmüller, P. R. Innocent, and J. Garibaldi, Motion-Based Object Detection and Tracking in Color Sequences Hermosillo Valadez. Variational Methods for Multimodal Image Matching Real-Time Correlation-Based Vision with Reduced Border Errors, Asian Conference on Computer Vision, ACCV Thèse de doctorat, pp.1028-1033, 2000.

]. W. Hoff and N. Ahuja, Surfaces from stereo: integrating feature matching, disparity estimation, and contour detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.2, pp.121-136, 1989.
DOI : 10.1109/34.16709

]. J. Holland-75, G. Hong, and . Chen, Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control and, artificial intelligence Massachusetts Institute of Technology Segment-Based Stereo Matching Using Graph Cuts, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.74-81, 1975.

J. J. Hopfield, Neural networks and physical systems with emergent collective computational abilities, Proceedings of the National Academy of Sciences, pp.2254-2258, 1982.

R. Horaud and T. Skordas, Stereo Correspondence Trough Feature Grouping and Maximal Cliques, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.PAMI, issue.11, pp.111168-1180, 1989.
DOI : 10.1109/34.42855

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.6739

R. Horaud, O. Monga, ]. F. Horowitz, D. Bone, and P. Vedkamp, Vision par ordinateur, outils fondamentaux Karhunen-Loeve Based Iterated Function System Encodings, Traité des nouvelles technologies, série Informatique. Hermès International Picture Coding Symposium, pp.409-413, 1993.

J. Hu and P. Siy, Stereo correspondence through multiple constraint neural networks, IEEE International Conference on Neural Networks, pp.332-342, 1981.
DOI : 10.1109/ICNN.1993.298519

S. S. Intille and A. F. Bobick, Disparity-space images and large occlusion stereo, European Conference on Computer Vision, ECCV, pp.179-186, 1994.
DOI : 10.1007/BFb0028349

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.465.1107

M. Irani, P. Anandan, and S. Hsu, Mosaic based representations of video sequences and their applications, Proceedings of IEEE International Conference on Computer Vision, pp.605-611, 1995.
DOI : 10.1109/ICCV.1995.466883

M. Irani, P. Anandan, and M. Cohen, Direct recovery of Planar-Parallax from Multiple Frames, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.PAMI, issue.11, pp.241528-1534, 2002.

]. G. Jaffré and A. Crouzil, Non-rigid object localization from color model using mean shift, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), pp.317-320, 2003.
DOI : 10.1109/ICIP.2003.1247245

A. Jagmohan, M. Singh, and N. Ahuja, Dense stereo matching using kernel maximum likelihood estimation, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.28-31, 2004.
DOI : 10.1109/ICPR.2004.1334461

H. Jahn, Binocular Stereo Matching by Local Attraction, International Conference on Computer Analysis of Images and Patterns, CAIP, pp.676-683, 2001.
DOI : 10.1007/3-540-44692-3_81

C. V. Jawahar and P. J. Narayanan, Generalised correlation for multi-feature correspondence, Pattern Recognition, vol.35, issue.6, pp.351303-1313, 2002.
DOI : 10.1016/S0031-3203(01)00111-X

H. Jibrini, M. Pierrot-deseilligny, N. Paparoditis, and H. Ma??trema??tre, Détermination d'une surface polyédrique continue optimalè a partir d'un fouillis de plans, actes du Congrès AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA, pp.175-183, 2003.

]. D. Jones and J. Malik, Computational framework for determining stereo correspondence from a set of linear spatial filters, Image and Vision Computing, vol.10, issue.10, pp.10699-708, 1992.
DOI : 10.1016/0262-8856(92)90015-U

]. G. Bibliographie, X. Jones, T. Ju, J. P. Boyling, N. Siebert et al., Constraint, Optimization, and Hierarchy: Reviewing Stereoscopic Correspondence of Complex Features Integration of Range Images in a Multi-View Stereo System, IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, pp.57-58, 1997.

]. Jung and S. Lacroix, A Robust Interest Points Matching Algorithm, IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pp.538-543, 2001.

F. Jurie, Reconnaissance d'objets volumiques par mise en correspondance d'indices visuels Algorithm with an Adaptive Window : Theory and Experiment, TS IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.9, pp.5-6321, 1994.

T. Kanade, A. Yoshida, K. Oda, H. Kano, M. Tanaka et al., A Stereo Machine for Video-rate Dense Depth Mapping and Its New Applications San Francisco, ´ Etats-Unis, juin 1996 Accuracy Bounds and Optimal Computation of Homography for Image Mosaicing Applications Robust Image registration by Increment Sign Correlation Using selective correlation coefficient for robust image registration, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pp.196-202, 2002.

S. B. Kang, C. L. Zitnick, and T. Kanade, A multibaseline stereo system with active illumination and real-time image acquisition, IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pp.88-93, 1995.

]. S. Kang, R. Szeliski, and J. Chai, Handling Occlusions in Dense Multi-view Stereo, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.103-110, 2001.

]. A. Kaplan and E. Rivlin, Robust feature matching across widely separated color images, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.136-139, 2004.
DOI : 10.1109/ICPR.2004.1334080

T. Kawanishi, T. Kurozumi, K. Kashino, and S. Takagi, A fast template matching algorithm with adaptive skipping using inner-subtemplates' distances, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.654-657, 2004.
DOI : 10.1109/ICPR.2004.1334614

C. Kim, K. M. Lee, B. T. Choi, and S. U. Lee, A Dense Stereo Matching Using Two-Pass Dynamic Programming with Generalized Ground Control Points, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.1075-1082, 2005.

R. Klette, H. S. Stiehl, M. A. Viergever, and K. L. Vincken, Performance characterization in computer vision, de Computational Imaging and Vision, 2000.
DOI : 10.1007/978-94-015-9538-4

R. Koch, Surface segmentation and modeling of 3D polygonal objects from stereoscopic image pairs, Proceedings of 13th International Conference on Pattern Recognition, pp.233-237, 1996.
DOI : 10.1109/ICPR.1996.546025

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.49.963

R. Koch, M. Pollefeys, L. Van-gool, V. Kolmogorov, and R. Zabih, Multi Viewpoint Stereo from Uncalibrated Video Sequences Computing Visual Correspondence with Occlusions using Graph Cuts, European Conference on Computer Vision, ECCV IEEE Conference Proceedings of International Conference on Computer Vision, ICCVKolmogorov 02] V. Kolmogorov et R. Zabih. Multi-camera Scene Reconstruction via Graph Cuts. Dans proceedings of European Conference on Computer Vision, ECCV, pp.55-71, 2001.

D. Kong, H. Tao, and H. H. Gonzalez-banos, Sparse IBR Using Range Space Rendering, Procedings of the British Machine Vision Conference 2003, pp.181-190, 2003.
DOI : 10.5244/C.17.19

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.5038

A. Koschan, Dense stereo correspondence using polychromatic block matching, International Conference on Computer Analysis of Images and Patterns, CAIP IEEE Conference Proceedings of Southwest Symposium on Image Analysis and Interpretation, pp.538-542, 1996.
DOI : 10.1007/3-540-57233-3_71

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.1117

A. Koschan, V. R. Solina, W. G. Kropatsch, R. Klette, and R. Bajcsy, Dense Depth Maps by Active Color Illumination and Image Pyramids Advances in Computer Vision, Kostková 02] J. Kostková et R. ? Sára. Stable Matching Based on Disparity Components. Dans proceedings of Computer Vision Winter Workshop, pp.137-148, 1997.
DOI : 10.1007/978-3-7091-6867-7_15

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.9228

W. G. Kropatsch, Royaume-Uni, septembre 2003 Building Irregular Pyramids by Dual Graph Contraction, Dans proceedings of British Machine Vision Conference IEE Proceedings of Vision, Image and Signal Processing, pp.339-348, 1995.
DOI : 10.1049/ip-vis:19952115

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.9578

J. S. Ku, K. M. Lee, and S. U. Lee, Multi-image matching for a general motion stereo camera model, Pattern Recognition, vol.34, issue.9, pp.341701-1712, 2001.
DOI : 10.1016/S0031-3203(00)00110-2

S. Lai and Z. D. Lan, Robust Image Matching under Partial Occlusion and Spatially Varying Illumination Change, Thèse de doctoratLantagne 03] M. Lantagne, M. Parizeau et R. Bergevin. VIP : Vision tool for comparing Images of People. Vision Interface, pp.84-98, 1997.
DOI : 10.1006/cviu.1999.0829

]. L. Laurence, Navigation sous-marine référencée terrain par mise en correspondance de cartes bathymétriques, Thèse de doctorat, 1998.

L. Bibliographie, . L. Besnerais-98-]-g, H. Besnerais, and . Oriot, Disparity estimation for high resolution stereoscopic reconstruction using GNC approach, IEEE Conference Proceedings of International Conference on Image Processing, ICIP, pp.594-597, 1998.

Q. Leclerc, P. Luong, H. Fua, D. R. Lee, S. H. Cok et al., Measuring the Self-Consistency of Stereo Algorithms Detecting Boundaries in a Vector Field MAP-Based Stochastic Diffusion for Stereo Matching and Line Fields Estimation, European Conference on Computer Vision, ECCV, pp.282-2981181, 2002.

V. Lefèvre, Y. Pollet, S. Philipp, and S. Brunessaux, Un système multi-agents pour la fusion de données en analyse d'images, TS, vol.13, issue.1, pp.100-111, 1996.

C. Leung, B. Appleton, B. C. Lovell, and C. Sun, An energy minimisation approach to stereo-temporal dense reconstruction, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.72-75, 2004.
DOI : 10.1109/ICPR.2004.1333708

]. D. Levesque and F. Deschênes, Sparse scene structure recovery from atmospheric degradation, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.84-87, 2004.
DOI : 10.1109/ICPR.2004.1334013

M. D. Levine, A. Levy, M. Lindenbaum, O. Lezoray, A. Elmoataz et al., Sequential Karhunen-Loeve Basis Extraction and its Application to Images A color object recognition scheme: application to cellular sorting, Lhuillier 00] M. Lhuillier et L. Quan. Robust Dense Matching Using Local and Global Geometric Constraints IEEE Conference Proceedings of International Conference on Pattern Recognition , ICPR, pp.1371-1374166, 1985.

M. Lhuillier and L. Quan, Reconstruction quasi-dense de modèles 3Dà3D`3Dà partir d'une séquence d'images, actes du Congrès AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, pp.895-904, 2004.

M. H. Lin, Surfaces with Occlusions from Layered Stereo, Little 92] J. Little. Accurate early detection of discontinuities. Dans proceedings of International Conference on Vision Interface, pp.97-102, 1992.

]. J. Lotti and G. Giraudon, Correlation algorithm with adaptive window for aerial image in stereo vision A Combined Intensity and Gradient- Based Similarity Criterion for Interindividual SPECT Brain Scan Registration, Dans proceedings of European Symposium on Satellite Remote Sensing, pp.2315-2325, 1994.

A. Luo and H. Burkhardt, An intensity-based cooperative bidirectional stereo matching with simultaneous detection of discontinuities and occlusions, International Journal of Computer Vision, vol.8, issue.3, pp.15171-188, 1995.
DOI : 10.1007/BF01451740

D. Maier, A. Rössle, J. Hesser, and R. Männer, Dense Disparity Maps Respecting Occlusions and Object Separation Using Partial Differential Equations, Digital Image Computing: Techniques and Applications, pp.613-622, 2003.

M. W. Mainmone and S. A. Shafer, A Taxonomy for Stereo Computer Vision Experiments, European Conference on Computer Vision, ECCV, Workshop on Performance Characteristics of Vision Algorithms, pp.59-79, 1996.

R. Manduchi and C. Tomasi, Distinctiveness maps for image matching, Proceedings 10th International Conference on Image Analysis and Processing, pp.26-31, 1999.
DOI : 10.1109/ICIAP.1999.797566

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.7711

J. Matas, O. Chum, M. Urban, and T. Pajdla, Robust Wide Baseline Stereo from Maximally Stable Extremal Regions, proceedings of British Machine Vision Conference, pp.384-393, 2002.

]. I. Matthews, T. Ishikawa, and S. Baker, The template update problem, Machine Vision Conference, pp.649-658, 2003.
DOI : 10.1109/TPAMI.2004.16

]. R. Mayoral and M. Aurnhammer, Evaluation of correspondence errors for stereo, IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, pp.104-107, 2004.

B. Mccane, K. Novins, D. Crannitch, and B. Galvin, On Benchmarking Optical Flow, Computer Vision and Image Understanding, vol.84, issue.1, pp.126-143, 2001.
DOI : 10.1006/cviu.2001.0930

P. Meer, C. V. Stewart, and D. E. Tyler, Robust Computer Vision: An Interdisciplinary Challenge, Computer Vision and Image Understanding, vol.78, issue.1, pp.1-7, 2000.
DOI : 10.1006/cviu.1999.0833

]. Z. Megyesi and D. Chetverikov, Affine propagation for surface reconstruction in wide baseline stereo, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.76-79, 2004.
DOI : 10.1109/ICPR.2004.1333709

C. Menard and W. G. Kropatsch, Adaptive stereo matching in correlation scale-space, proceedings of International Conference on Image Analysis and Processing, pp.677-684, 1997.
DOI : 10.1007/3-540-63507-6_260

A. W. Rosenbluth, M. N. Rosenbluth, and A. H. Teller, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953.

]. R. Bibliographie, G. Mohan, R. Medioni, and . Nevatia, Stereo Error Detection, Correction, and Evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, vol.11, issue.2, pp.113-120, 1989.

A. Montanvert, P. Meer, and A. Rosenfeld, Hierarchical image analysis using irregular tessellations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.13, issue.4, pp.307-316, 1991.
DOI : 10.1109/34.88566

]. J. Mulligan and K. Daniilidis, Predicting Disparity Windows for Real-Time Stereo, European Conference on Computer Vision, ECCV, pp.220-235, 2000.
DOI : 10.1007/3-540-45054-8_15

]. J. Mulligan, V. Isler, and K. Daniilidis, Performance of Stereo for Tele-presence, IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pp.558-565, 2001.

A. M. Barrutia, T. Blu, and M. Unser, Non-Euclidean Pyramids, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, volume SPIE?4119, pp.710-720, 2000.

K. Mühlmann, D. Maier, J. Hesser, and R. Männer, Calculating dense disparity maps from color stereo images, an efficient implementation, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), pp.30-36, 2001.
DOI : 10.1109/SMBV.2001.988760

M. L. Nack, Temporal registration of multispectral digital satellite images using their edge images, AAS/AIAA/Astrodynamics Specialist Conference

T. Nakamura, K. Matsuura, Y. Satoh, and . Ohta, Occlusion detectable stereo-occlusion patterns in camera matrix, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.371-378, 1996.
DOI : 10.1109/CVPR.1996.517099

]. N. Nasrabadi-92a and . Nasrabadi, A stereo vision technique using curve-segments and relaxation matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.5, pp.566-572, 1992.
DOI : 10.1109/34.134060

]. N. Nasrabadi-92b, C. Y. Nasrabadi, and . Choo, Hopfield network for stereo vision correspondence, IEEE Transactions on Neural Networks, vol.3, issue.1, pp.5-13, 1992.
DOI : 10.1109/72.105413

]. H. Nishihara, PRISM, a pratical real-time imaging stereo matcher Rapport de recherche A. I. Memo 780, 1984.

H. K. Nishihara and P. A. Crossley, Measuring photolithographic overlay accuracy and critical dimensions by correlating binarized Laplacian of Gaussian convolutions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.10, issue.1, pp.17-30, 1988.
DOI : 10.1109/34.3864

I. Ohta, T. Kanade, and T. Sakai, Color information for region segmentation, Computer Graphics and Image Processing, vol.13, issue.3, pp.222-241, 1980.
DOI : 10.1016/0146-664X(80)90047-7

T. Ohta and . Kanade, 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

]. M. Okutomi-92a, T. Okutomi, and . Kanade, A locally adaptive window for signal matching, International Journal of Computer Vision, vol.19, issue.3, pp.143-162, 1992.
DOI : 10.1007/BF00128133

M. Okutomi, T. Kanade, . Multiple-baseline, J. Stereo, D. Orteu et al., Mesure de formes et de champs de déplacements tridimensionnels par stéréo-corrélation d'images : applications en mécanique expérimentale Stereovision matching through support vector machines, Tomita. Color Stereo Matching and Its Application to 3-D Measurement of Optic Nerve HeadOrteu 03] novembre 2003. [Pan 96] H.-P. Pan. General Stereo Matching Using Symmetric Complex Wavelets. Dans Wavelet Applications in Signal and Image Processing IVPaparoditis 98] N. Paparoditis, M. Cord, M. Jordan et J.-P. Cocquerez. Building Detection and Reconstruction from Mid-and High-Resolution Aerial Imagery. Computer Vision and Image Understanding, pp.509-513358, 1993.

S. Paris, F. Sillion, C. S. Park, and H. W. Park, Optimisationà base de flot de graphe pour l'acquisition d'informations 3Dà3D`3Dà partir de séquences d'images. Dans Actes des 15ème15ème journées de l'AFIG, Association Française d'Informatique Graphique A robust stereo disparity estimation using adaptive window search and dynamic programming search, H. Ahn. Composition of High- Resolution Stereo Images from Hybrid Stereo System. Dans proceedings of International Workshop on Advanced Image Technology, pp.165-182, 2002.

J. Pearl, Probabilistic reasoning in intelligent systems: Networks of plausible inference, 1988.

S. Peleg and G. Ron, Nonlinear multiresolution: a shape-from-shading example, Perwass 01] C. B. U. Perwass et G. Sommer. A Fuzzy Logic Algorithm for Dense Image Point Matching. Dans proceedings of International Conference on Vision Interface, VI, pp.1206-1210, 1990.
DOI : 10.1109/34.62611

E. G. Petrakis, A. Diplaros, and E. Milios, Matching and retrieval of distorted and occluded shapes using dynamic programming, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.11, pp.241501-1516, 2002.
DOI : 10.1109/TPAMI.2002.1046166

M. Pollefeys, F. Verbiest, and L. V. , Surviving Dominant Planes in Uncalibrated Structure and Motion Recovery, Dans proceedings of European Conference on Computer VisionPorter 03] S. Porter, M. Mirmehdi et B. Thomas. Video Indexing using Motion Estimation. Dans proceedings of British Machine Vision Conference, pp.837-851, 2002.
DOI : 10.1007/3-540-47967-8_56

W. K. Pratt, Digital image processing, Pritchett 98] P. Pritchett et A. Zisserman. Matching and Reconstruction from Widely Separated Views. Dans proceedings of European Workshop on 3D Structure from Multiple Images, 1978.

J. Puzicha, T. Hofmann, and J. M. Buhmann, Non-parametric similarity measures for unsupervised texture segmentation and image retrieval, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.267-272, 1997.
DOI : 10.1109/CVPR.1997.609331

I. Pétillot, Reconstruction du relief d'un documentàdocument`documentà partir de ses contours, 2005.

G. Qian, S. Sural, and S. Pramanik, A comparative analysis of two distance measures in color image databases, IEEE Conference Proceedings of International Conference on Image Processing, ICIP, pp.401-404, 2002.

C. Rao, A. Gritai, and M. Shah, View-invariant alignment and matching of video sequences, Proceedings Ninth IEEE International Conference on Computer Vision, pp.939-945, 2003.
DOI : 10.1109/ICCV.2003.1238449

]. V. Reddy and S. Sengupta, A new predictive full-search block motion estimation, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.721-724, 2004.
DOI : 10.1109/ICPR.2004.1333874

S. Rital, H. Cherfi, and D. Aboutajdine, A vectorial Edge detector using spatiocolorimetric neighborhood hypergraph and perceptual color distance, International Conference on Complex Systems, Intelligence and Modern Technology, pp.305-310, 2004.

L. Robert and R. Deriche, Dense depth map reconstruction: A minimization and regularization approach which preserves discontinuities, European Conference on Computer Vision, ECCV, pp.439-451, 1996.
DOI : 10.1007/BFb0015556

A. Roche, X. Pennec, G. Malandain, and N. Ayache, Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information, IEEE Transactions on Medical Imaging, vol.20, issue.10, pp.1038-1049, 2001.
DOI : 10.1109/42.959301

URL : https://hal.archives-ouvertes.fr/cea-00333699

P. Rogelj, S. Kova?i?, and J. C. Gee, Point similarity measures for non-rigid registration of multi-modal data, Computer Vision and Image Understanding, vol.92, issue.1, pp.112-140, 2003.
DOI : 10.1016/S1077-3142(03)00116-4

P. J. Rousseeuw and A. M. Leroy, Robust regression and outlier detection, J. Wiley & Sons, 1987.
DOI : 10.1002/0471725382

P. J. Rousseeuw and C. Croux, L 1 -Statistical Analysis and Related Methods, pp.77-92, 1992.

S. Roy and I. J. Cox, A maximum-flow formulation of the N-camera stereo correspondence problem, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.492-499, 1998.
DOI : 10.1109/ICCV.1998.710763

Y. Rubner, J. Puzicha, C. Tomasi, and J. M. Buhmann, Empirical Evaluation of Dissimilarity Measures for Color and Texture, Computer Vision and Image Understanding, vol.84, issue.1, pp.25-43, 2001.
DOI : 10.1006/cviu.2001.0934

T. D. Russ and A. P. Reeves, High Accuracy Depth Measurement using Multi-view Stereo, proceedings of International Conference on Vision Interface, VI, pp.103-110, 1999.

M. Rziza, A. Tamtaoui, L. Morin, and D. Aboutajdine, Estimation and segmentation of a dense disparity map for 3D reconstruction Schéma multirésolution d'estimation d'un champ de disparités dense sous contrainté epipolaire pour les images bruitées, IEEE Conference Proceedings of International Conference on Acoustics, Speech and Signal Processing, 2000.

H. Saito and M. Mori, Application of genetic algorithms to stereo matching of images, Pattern Recognition Letters, PRL, issue.8, pp.16815-821, 1995.

M. Sankar-kishore, K. Veerabhadra, and . Rao, A study of correlation technique on pyramid processed images, S¯ adhan¯ a, Academy Proceedings in Engineering Sciences, pp.37-43, 2000.

M. Sankar-kishore, K. Veerabhadra, and . Rao, Robust correlation tracker, S¯ adhan¯ a, Academy Proceedings in Engineering SciencesSatoh 96] K. Satoh et Y. Ohta. Occlusion Detectable Stereo ? Systematic Comparison of Detection Algorithms IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, pp.227-236, 1996.

R. Szeliski, R. Szeliski, D. Scharstein, and R. Szeliski, A Taxomomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms High-Accuracy Stereo Depth Maps Using Structured Light Performance Evaluation Metrics for Motion Detection and Tracking, IEEE Conference Proceedings of Computer Vision and Pattern Recognition Generalized Use of Homographies for Piecewise Planar Reconstruction. Dans proceedings of Scandinavian Conference on Image Analysis, SCIA IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR Schlüns et A. Koschan. Global and Local Highlight Analysis In Color Images. Dans proceedings of International Conference on Color in Graphics and Image Processing, pp.155-1747, 1998.

C. Schmid and R. Mohr, Matching by local invariants, Institut National de Recherche en Informatique et en Automatique, 1995.
URL : https://hal.archives-ouvertes.fr/inria-00074046

A. Zisserman, Automatic Line Matching across Views, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.666-671, 1997.
URL : https://hal.archives-ouvertes.fr/inria-00548346

H. W. Schreier, J. R. Braasch, and M. A. Sutton, Systematic errors in digital image correlation caused by intensity interpolation, Visual Communication and Image Processing IV, pp.2915-2921, 1989.
DOI : 10.1117/1.1314593

D. Semani, M. Chambah, and P. Courtellemont, Processing of Underwater Colour Images Applied to Live Aquarium Videos, International Journal of Robotics and Automation, vol.20, issue.2, pp.123-130, 2005.
DOI : 10.2316/Journal.206.2005.2.206-2787

K. Bibliographie, M. Shafique, and . Shah, A Non-Iterative Greedy Algorithm for Multi-frame Point Correspondence, IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pp.111-115, 2003.

J. Shao, Generation of Temporally Consistent Multiple Virtual Camera Views from Stereoscopic Image Sequences, International Journal of Computer Vision, vol.47, issue.1/3, pp.171-180, 2002.
DOI : 10.1023/A:1014545908590

G. Sharma, H. J. Trusell, H. Shekarforoush, M. Berthod, and J. Zerubia, Digital color imaging, IEEE Transactions on Image Processing, vol.6, issue.7, pp.901-932, 1995.
DOI : 10.1109/83.597268

J. Shen and S. Castan, An optimal linear operator for step edge detection Computer Vision, Graphics, and Image Processing: Graphical Models and Image Processing, pp.112-133, 1992.

J. Shi and C. Tomasi, Good features to track, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.593-600, 1994.

M. Shimizu and M. Okutomi, Sub-Pixel Estimation Error Cancellation on Area-Based Matching, International Journal of Computer Vision, vol.35, issue.11, pp.207-224, 2005.
DOI : 10.1007/s11263-005-6878-5

C. Silva, J. Santos-victor, E. Simonetto, A. Soadane-skerl, B. Likar et al., Colour Image Watermarking Using a Visual Sub-Band Decomposition Evaluation of Nine Similarity Measures used in Rigid Registration SUSAN -A New Approach to Low Level Image Processing, Intrinsic Images for Dense Stereo Matching with Occlusions IEEE Conference Proceedings of International Conference on Pattern Recognition , ICPRSmith 96] P. W. Smith et N. Nandhakumar. An Improved Power Cepstrum Based Stereo Correspondence Method for Textured Scenes proceedings of British Machine Vision Conference, pp.100-114101, 1996.

J. P. Starink and E. Backer, Finding point correspondences using simulated annealing [Stock 03] C. Stock et A. Pinz. Similarity Measure for Corner Redetection, Scandinavian Conference on Image Analysis, SCIAStricker 95] M. Stricker et M. Orengo. Similarity of Color Images. Dans Storage and Retrieval for Image and Video DatabasesSun 97] C. Sun. A Fast Stereo Matching Method. Dans proceedings of Digital Image Computing : Techniques and Applications, DICTA, pp.231-240, 1995.

]. M. Swain, D. H. Ballardszeliski-99a-]-r, and . Szeliski, Color indexing, IEEE Conference Proceedings of International Conference on Computer Vision, ICCVSzeliski 99b] R. Szeliski et R. Zabih. An experimental Comparison of Stereo Algorithms. Dans ICCV Workshop on Vision Algorithms: Theory and PracticeSzeliski 02] R. Szeliski et D. Scharstein. Symmetric Sub-Pixel Stereo Matching. Dans proceedings of European Conference on Computer Vision, ECCV, pp.11-32, 1991.
DOI : 10.1007/BF00130487

R. Sára and R. Bajcsy, On occluding contour artifacts in stereo vision, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.419-425, 1991.
DOI : 10.1109/CVPR.1997.609427

H. Tao, H. S. Sawhnwey, and R. Kumar, A global matching framework for stereo computation, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.532-539, 2001.
DOI : 10.1109/ICCV.2001.937562

M. F. Tappen and W. T. Freeman, Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters, Proceedings Ninth IEEE International Conference on Computer Vision, pp.900-907, 2003.
DOI : 10.1109/ICCV.2003.1238444

Q. Tian and M. N. Huhns, Algorithms for Subpixel Registration Computer Vision, Graphics, and Image Processing: Image Understanding, CVGIP, vol.35, issue.2, pp.220-233, 1986.

]. P. Torr and A. Zisserman, Robust computation and parametrization of multiple view relations, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.727-732, 1998.
DOI : 10.1109/ICCV.1998.710798

P. H. Torr and A. Criminisi, Dense stereo using pivoted dynamic programming, Triantafyllidis et M. G. Strintzis. Occlusion and Visible Background and Foreground Areas in Stereo: A Bayesian Approach. IEEE Transactions on Circuits and Systems for Video Technology, pp.22795-806563, 2000.
DOI : 10.1016/j.imavis.2004.02.012

M. Bibliographie, E. Trujillo, and . Izquierdo, A robust correlation measure for correspondence estimation, Dans proceedings of International Symposium on 3D Data Processing, pp.155-162

]. C. Tsai and A. K. Katsaggelos, Dense disparity estimation with a divide-and-conquer disparity space image technique, IEEE Transactions on Multimedia, vol.1, issue.1, pp.18-29, 1999.
DOI : 10.1109/6046.748168

C. Tsai, J. Lin, and . Chen, The evaluation of normalized cross correlations for defect detection, Pattern Recognition Letters, vol.24, issue.15, pp.242525-2535, 2003.
DOI : 10.1016/S0167-8655(03)00098-9

C. Tseng and . Chang, Color segmentation using perceptual attributes, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,, pp.228-231, 1992.
DOI : 10.1109/ICPR.1992.201967

M. Uenohara and T. Kanade, Use of Fourier and Karhunen-Loeve decomposition for fast pattern matching with a large set of templates, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.8, pp.19891-898, 1997.
DOI : 10.1109/34.608291

F. Ullah, S. Kaneko, and S. Igarashi, Orientation Code Matching For Robust Object Search, Proceedings of IEICE Transactions on Information and SystemsUnnikrishnan 05] R. Unnikrishnan et M. Hebert. Measures of Similarity IEEE Conference Proceedings of Workshop on Applications of Computer Vision, WACV, pp.999-1006, 2001.

]. O. Veksler, Efficient graph-based energy minimization methods in computer vision, 1999.

A. J. Viterbi, Error bounds for convolutional codes and an asymptotically optimum decoding algorithm, IEEE Transactions on Information Theory, vol.13, issue.2, pp.260-269, 1967.
DOI : 10.1109/TIT.1967.1054010

Y. Wang and D. Wiens, Optimal, robust R-estimators and test statistics in the linear model, Statistics & Probability Letters, vol.14, issue.3, pp.179-188, 1992.
DOI : 10.1016/0167-7152(92)90019-2

]. J. Wang and E. H. Adelson, Layered representation for motion analysis, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp.361-366, 1993.
DOI : 10.1109/CVPR.1993.341105

]. J. Wang and C. Hsiao, On Disparity Matching in Stereo Vision via a Neural Network Framework, National Science Council, vol.23, issue.5, pp.665-678, 1999.

W. Wei, G. Brauer, and . Hirzinger, Intensity-and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions, IEEE Transactions on Pattern Analysis and Machine Intelligence, issue.11, pp.201143-1160, 1998.

]. Y. Wei and L. Quan, Region-based Progressive Stereo Matching, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.106-113

W. T. Weiss and . Freeman, On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs, IEEE Transactions on Information Theory, vol.47, issue.2, pp.736-744, 2001.
DOI : 10.1109/18.910585

J. Weng, N. Ahuja, and T. S. Huang, Matching two perspective views, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.8, pp.14806-825, 1992.
DOI : 10.1109/34.149592

S. Wesolkowski and E. Jernigan, Color edge detection in RGB using jointly euclidean distance and vector angle, proceedings of International Conference on Vision Interface, VI, pp.9-16, 1999.

]. D. Wiens and J. Zhou, Bounded-influence rank estimation in the linear model, Canadian Journal of Statistics, vol.18, issue.2, pp.233-245, 1994.
DOI : 10.2307/3315586

P. Withagen, K. Schutte, and F. Groen, Probabilistic classification between foreground objects and background, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.31-34, 2004.
DOI : 10.1109/ICPR.2004.1333998

]. J. Woetzel and R. Koch, Multi-camera real-time depth estimation with discontinuity handling on PC graphics hardware, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.741-744, 2004.
DOI : 10.1109/ICPR.2004.1334296

J. Xiao and M. Shah, Two-Frame Wide Baseline Matching, IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pp.603-609, 2003.

A. Yang, J. Yuille, and . Lu, Local, global, and multilevel stereo matching, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp.274-279, 1993.
DOI : 10.1109/CVPR.1993.340969

]. A. Yao and A. Calway, Dense 3-D Structure from Image Sequences Using Probabilistic Depth Carving, Procedings of the British Machine Vision Conference 2003, pp.211-220, 2003.
DOI : 10.5244/C.17.22

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.7503

J. S. Yedidia, W. T. Freeman, and Y. Weiss, Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms, IEEE Transactions on Information Theory, vol.51, issue.7, pp.2282-2312, 2005.
DOI : 10.1109/TIT.2005.850085

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.9766

]. Yoon and I. Kweon, Locally Adaptive Support-Weight Approach for Visual Correspondence Search, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pp.924-931, 2005.

R. Zabih and J. Woodfill, Non-parametric local transforms for computing visual correspondence, European Conference on Computer Vision, ECCV, pp.151-158, 1994.
DOI : 10.1007/BFb0028345

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.788

Z. Zhang, Leprobì eme de la mise en correspondance : l'´ etat de l'art. Rapport de recherche RR-2146, Institut National de Recherche en Informatique et en Automatique, 1993.

Z. Zhang, Parameter estimation techniques: a tutorial with application to conic fitting, Institut National de Recherche en Informatique et en Automatique, 1995.
DOI : 10.1016/S0262-8856(96)01112-2

URL : https://hal.archives-ouvertes.fr/inria-00074015

]. Z. Zhang and Y. Shan, A Progressive Scheme for Stereo Matching Dans proceedings of European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, SMILE, volume 2018 de, Lecture Notes in Computer Science, pp.68-85, 2000.

C. Zhang and . Kambhamettu, Stereo Matching with Segmentation-Based Cooperation, European Conference on Computer Vision, ECCV, pp.556-571, 2002.
DOI : 10.1007/3-540-47967-8_37

]. X. Zhang and Y. Liu, Point Pattern Matching for Articulated or Multiple Objects, IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, pp.630-633, 2004.

T. E. Zickler, J. Ho, D. J. Kriegman, J. Ponce, and P. N. Belhumeur, Binocular Helmholtz stereopsis, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1411-1417, 2000.
DOI : 10.1109/ICCV.2003.1238655

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.107

I. Zoghlami, O. Faugeras, and R. Deriche, Traitement des occlusions pour la modification d'objet plan dans une séquence d'image, actes du congrès francophone de Vision par Ordinateur, ORASIS, pp.93-103, 1996.