Bibliographie mise en correspondance

[1] 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, 29(6):33-41, novembre 1984.
[ bib ]
[2] J. K. Aggarwal and N. Nandhakumar. On the computation of motion from sequences of images - a review. Proceedings of the IEEE, 76(8):917-935, août 1988.
[ bib ]
[3] M. Agrawal and L. Davis. Window-based, discontinuity preserving stereo. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 1, pages 66-73, Washington, États-Unis, juin-juillet 2004.
[ bib ]
[4] L. Alvarez, R. Deriche, T. Papadopoulos, and J. Sánchez. Symmetrical dense optical flow estimation with occlusions detection. In proceedings of European Conference on Computer Vision, ECCV, volume 1, pages 721-735, Copenhague, Danemark, mai 2002.
[ bib ]
[5] L. Alvarez, R. Deriche, J. Sánchez, and J. Weickert. Dense disparity map estimation respecting image discontinuities: A PDE and scale-space based approach. Rapport de recherche RR-3874, Institut National de Recherche en Informatique et en Automatique, INRIA, janvier 2000.
[ bib ]
[6] P. Anandan. A computational framework and an algorithm for the measurement of visual motion. International Journal of Computer Vision, IJCV, 2(3):283-310, janvier 1989.
[ bib ]
[7] P. Arcara, L. Di Stefano, S. Mattocia, C. Melchiorri, and G. Vassura. Perception of depth information by means of a wire-actuated haptic interface. In proceedings of International Conference on Robotic and Automation, ICRA, San Francisco, États-Unis, avril 2000.
[ bib ]
[8] X. Armangué and J. Salvi. Overall view regarding fundamental matrix estimation. International Journal of Image and Vision Computing, IVC, 21(2):205-220, février 2003.
[ bib ]
[9] P. Aschwanden and W. Guggenbül. Experimental results from a comparative study on correlation type registration algorithms. In W. Förstner and S. Ruwiedel, editors, Robust computer vision: Quality of Vision Algorithms, pages 268-282. Wichmann, Karlsruhe, Allemagne, mars 1992.
[ bib ]
[10] N. Ayache. Vision stéréoscopique et perception multisensorielle - Applications à la robotique mobile. Science informatique. InterEditions, Paris, France, mai 1989.
[ bib ]
[11] E. P. Baltsavias and D. Stallman. Improvements in matching of SPOT images for DTM generation. In Australasian Remote Sensing Conference, pages 314-321, Melbourne, Australie, mars 1994.
[ bib ]
[12] J. Banks and M. Bennamoun. Reliability analysis of the rank transform for stereo matching. IEEE Transactions on Systems, Man and Cybernetics, SMC, 31(6):870-880, décembre 2001.
[ bib ]
[13] S. T. Barnard. Stochastic stereo matching over scale. International Journal of Computer Vision, IJCV, 3(1):17-32, mai 1989.
[ bib ]
[14] P. N. Belhumeur and D. Mumford. A bayesian treatment of the stereo correspondence problem using half-occluded regions. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pages 506-512, Urbana-Champaign, États-Unis, juin 1992.
[ bib ]
[15] T. Belli, M. Cord, and S. Philipp-Foliguet. Colour contribution for stereo image matching. In proceedings of International Conference on Color in Graphics and Image Processing, CGIP, pages 317-322, Saint-Étienne, France, octobre 2000.
[ bib ]
[16] R. E. Bellman and S. E. Dreyfus. La programmation dynamique et ses applications. Dunod, Paris, France, 1962.
[ bib ]
[17] S. Benhimane and E. Malis. Mise en correspondance d'images à différentes résolutions à l'aide d'invariants aux paramètres intrinsèques. In actes du Congrès AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA, volume 2, pages 585-594, Toulouse, France, janvier 2004.
[ bib ]
[18] S. Birchfield and C. Tomasi. Depth discontinuities by pixel-to-pixel stereo. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pages 1073-1080, Bombai, Inde, janvier 1998.
[ bib ]
[19] S. Birchfield and C. Tomasi. Multiway cut for stereo and motion with slanted surfaces. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 1, pages 489-495, Kerkyra, Grèce, septembre 1999.
[ bib ]
[20] H. Bischof, E. Bertin, and P. Bertolline. Voronoi pyramids and hopfield networks. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 3, pages 330-333, Jérusalem, Israël, octobre 1994.
[ bib ]
[21] M. J. Black and P. Anandan. A framework for the robust estimation of optical flow. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pages 231-236, Berlin, Allemagne, mai 1993.
[ bib ]
[22] M. J. 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, IJCV, 19(1):57-91, juillet 1996.
[ bib ]
[23] M. Bleyer and M. Gelautz. A layered stereo algorithm using image segmentation and global visibility constraints. In IEEE Conference Proceedings of International Conference on Image Processing, ICIP, volume 5, pages 2997-3000, Singapour, octobre 2004.
[ bib ]
[24] M. Bleyer and M. Gelautz. Graph-based surface reconstruction from stereo pairs using image segmentation. In Videometrics VIII, volume SPIE-5665, pages 288-299, San José, États-Unis, janvier 2005.
[ bib ]
[25] A. F. Bobick and S. S. Intille. Large occlusion stereo. International Journal of Computer Vision, IJCV, 33(3):181-200, septembre 1999.
[ bib ]
[26] T. E. Boult and L.-H. Chen. Analysis of two new stereo algorithms. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pages 177-182, 1988.
[ bib ]
[27] A. Bovyrin, V. Eruhimov, S. Molinov, V. Mosyagin, and V. Pisarevsky. Fast and robust dense stereo correspondence by column segmentation. In IEEE Conference Proceedings of International Conference on Image Processing, ICIP, pages 1033-1036, Barcelone, Espagne, septembre 2003.
[ bib ]
[28] Y. Boykov, O. Veksler, and R. Zabih. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 23(11):1222-1239, novembre 2001.
[ bib ]
[29] P. Brigger, F. Müller, K. Illgner, and M. Unser. Centered pyramids. IEEE Transactions on Image Processing, IP, 8(9):1254-1264, septembre 1999.
[ bib ]
[30] R. Brockers, M. Hund, and B. Mertsching. A fast cost relaxation stereo algorithm with occlusion detection for mobile robot applications. In proceedings of Vision, Modeling and Visualization Conference, VMVC, pages 47-53, Stanford, États-Unis, novembre 2004.
[ bib ]
[31] R. Brockers, M. Hund, and B. Mertsching. Fast stereo vision for mobile robots by global minima of cost functions. In proceedings of Vision, Modeling and Visualization Conference, VMVC, pages 85-89, Stanford, États-Unis, novembre 2004.
[ bib ]
[32] R. Brockers, M. Hund, and B. Mertsching. Stereo vision using cost-relaxation with 3d support regions. In Image and Vision Computing New Zealand, Dunedin, Nouvelle-Zélande, novembre 2005.
[ bib ]
[33] M. Z. Brown, D. Burschka, and G. D. Hager. Advances in computational stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 25(8):993-1008, août 2003.
[ bib ]
[34] P. J. Burt and E. H. Adelson. The laplacian pyramid as a compact image code. IEEE Transactions on Communications, 31(4):532-540, avril 1983.
[ bib ]
[35] J. F. Canny. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 8(6):679-698, novembre 1986.
[ bib ]
[36] G. Carneiro and A. D. Jepson. Pruning local feature correspondences using shape context. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 3, pages 16-19, Cambridge, Royaume-Uni, août 2004.
[ bib ]
[37] N. Chehata. Interprétation de scènes urbaines à partir d'images satellitaires THR : reconstruction de facettes 3D et optimisation globale 3D. Bulletin d'information scientifique et technique de l'IGN, 75:29-40, janvier 2005.
[ bib ]
[38] S. D. Cochran and G. Médioni. 3-D surface description from binocular stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 14(10):981-994, octobre 1992.
[ bib ]
[39] D. Comaniciu and P. Meer. Distribution free decomposition of multivariate data. Pattern Analysis and Applications, PAA, 2(1):22-30, avril 1999.
[ bib ]
[40] G. S. Cox. Template matching and measures of match in image processing. Technical report, Université de Cape Town, Afrique du Sud, juillet 1995.
[ bib | http ]
[41] I. J. Cox. Stereo without disparity gradient smoothing: a bayesian sensor fusion solution. In proceedings of British Machine Vision Conference, BMVC, pages 337-346, Leeds, Royaume-Uni, septembre 1992.
[ bib ]
[42] A. Criminisi, J. Shotton ans A. Blake, C. Rother, and P. H. S. Torr. Efficient dense-stereo with occlusions and new view synthesis by four state dp for gaze correction. International Journal of Computer Vision, IJCV, 2005. Soumis.
[ bib ]
[43] A. Criminisi, J. Shotton, A. Blake, C. Rother, and P. H. S. Torr. Efficient dense-stereo and novel-view synthesis for gaze manipulation in one-to-one teleconferencing. Rapport technique MSR-TR-2003-59, Recherche Microsoft, Cambridge, Royaume-Uni, septembre 2003.
[ bib ]
[44] A. Crouzil. Perception du relief et du mouvement par analyse d'une séquence stéréoscopique d'images. Thèse de doctorat, Université Paul Sabatier, UPS, Toulouse, France, septembre 1997.
[ bib ]
[45] A. Crouzil, X. Descombes, and J.-D. Durou. A multiresolution approach for shape from shading coupling deterministic and stochastic optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 25(11):1416-1421, novembre 2003.
[ bib ]
[46] A. Crouzil, L. Massip-Pailhes, and S. Castan. A new correlation criterion based on gradient fields similarity. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 1, pages 632-636, Vienne, Autriche, août 1996.
[ bib ]
[47] C. Q. Davis, Z. Z. Karu, and D. M. Freeman. Equivalence of subpixel motion estimators based on optical flow and block matching. In IEEE Symposium on Computer Vision, pages 7-12, Coral Gables, États-Unis, novembre 1995.
[ bib ]
[48] L. S. Davis and A. Rosenfeld. Cooperating processes for low-level vision: A survey. Artificial Intelligence, 17(1-3):245-263, août 1981.
[ bib ]
[49] O. De Joinville, G. Maillet, H. Maître, and M. Roux. Évaluation a priori de la qualité d'un MNS. In actes du congrès francophone de Vision par Ordinateur, ORASIS, pages 67-76, Cahors, France, juin 2001.
[ bib ]
[50] Y. Deng, Q. Yang, X. Lin, and X. Tang. A symmetric patch-based correspondence model for occlusion handling. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, Beijing, Chine, octobre 2005. À paraître.
[ bib ]
[51] X. Descombes. Méthodes stochastiques en analyse d'image : des champs de Markov aux processus ponctuels marqués. Habilitation à diriger des recherches, Université de Nice - Sophia Antipolis, France, février 2004.
[ bib ]
[52] F. Devernay. Vision stéréoscopique et propriétés différentielles des surfaces. Thèse de doctorat, Institut National Polytechnique, INP, Grenoble, France, février 1997.
[ bib ]
[53] F. Devernay and O. Faugeras. Shape from stereo using fine correlation: Method and error analysis. International Journal of Image and Vision Computing, IVC, 2005. Soumis.
[ bib ]
[54] U. R. Dhond and J. K. Aggarwal. Stereo matching in the presence of narrow occluding objects using dynamic disparity search. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 17(7):719-724, juillet 1995.
[ bib ]
[55] L. Di Stefano, S. Mattocia, G. Neri, and D. Piccinini. Temporal filtering of diparity measurements. In proceedings of International Conference on Image Analysis and Processing, ICIAP, pages 145-150, Palerme, Italie, septembre 2001.
[ bib ]
[56] Y. Dufournaud, C. Schmid, and R. Horaud. Matching images with different resolutions. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 1, pages 612-618, Hilton Head Island, États-Unis, juin 2000.
[ bib ]
[57] G. Egnal and R. P. Wildes. Detecting binocular half-occlusions : Empirical comparisons of four approaches. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 2, pages 466-473, Hilton Head Island, États-Unis, juin 2000.
[ bib ]
[58] G. Egnal and R. P. Wildes. Detecting binocular half-occlusions : Empirical comparisons of five approaches. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 24(8):1127-1133, août 2002.
[ bib ]
[59] M. P. Eklund and A. A. Farag. Robust correspondence methods for stereo vision. International Journal of Pattern Recognition and Artificial Intelligence, PRAI, 17(7):1059-1079, novembre 2003.
[ bib ]
[60] R. Faghihi. Mise en correspondance SPECT-CT par conditions de consistance. Thèse de doctorat, Université Joseph Fourier, La Tronche, France, novembre 2002.
[ bib ]
[61] L. Falkenhagen. Hierarchical block-based disparity estimation considering neighbourhood constraints. In International Workshop on Synthetic-Natural Hybrid Coding and 3D Imaging, Rhodes, Grèce, septembre 1997.
[ bib ]
[62] P. F. Felzenszwalb and D. P. Huttenlocher. Efficient belief propagation for early vision. International Journal of Computer Vision, IJCV, 2006. À paraître.
[ bib ]
[63] D. J. Fleet, A. D. Jepson, and M. R. M. Jenkin. Phase-based disparity measurement. Computer Vision, Graphics, and Image Processing: Image Understanding, CVGIP, 53(2):198-210, mars 1991.
[ bib ]
[64] G. D. Forney. The viterbi algorithm. Proceedings of the IEEE, 61(3):268-278, mars 1973.
[ bib ]
[65] S. Forstmann, Y. Kanou, J. Ohya, S. Thuering, and A. Schmitt. Real-time stereo by using dynamic programming. In Workshop on real-time 3D sensors and their use, IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 3, pages 29-36, Washington, États-Unis, juin-juillet 2004.
[ bib ]
[66] P. Fua. Combining stereo and monocular information to compute dense depth maps that preserve depth discontinuities. In proceedings of International Joint Conference on Artificial Intelligence, IJAI, pages 1292-1298, Sydney, Australie, août 1991.
[ bib ]
[67] P. Fua. A parallel stereo algorithm that produces dense depth maps and preserves image features. International Journal of Machine Vision and Applications, MVA, 6(1):35-49, janvier 1993.
[ bib ]
[68] F. Fuchs. Contribution à la reconstruction du bâti en milieu urbain, à l'aide d'images aériennes stéréoscopiques à grande échelle. Étude d'une approche structurelle. Thèse de doctorat, Université Réné Descartes - Paris V, France, avril 2001.
[ bib ]
[69] A. Fusiello, E. Trucco, and A. Verri. A compact algorithm for rectification of stereo pairs. International Journal of Machine Vision and Applications, MVA, 12(1):16-22, juillet 2000.
[ bib ]
[70] D. Garcia. Mesures de formes et de champs de déplacements tridimensionnels par stéréo-corrélation d'images. Thèse de doctorat, École des Mines d'Albi, France, décembre 2001.
[ bib ]
[71] R. Garcia, X. Cufi, and J. Batle. Detection of matching in a sequence of underwater images through texture analysis. In IEEE Conference Proceedings of International Conference on Image Processing, ICIP, volume 1, pages 361-364, Thessalonique, Grèce, octobre 2001.
[ bib ]
[72] D. Geiger, B. Ladendorf, and A. Yuille. Occlusions and binocular stereo. In IEEE Conference Proceedings of International Conference on Image Processing, ICIP, volume 14, pages 211-226, Washington, États-Unis, octobre 1995.
[ bib ]
[73] S. Geman and D. Geman. Stochastic relaxation, gibbs distributions and the bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 6(6):721-741, novembre 1984.
[ bib ]
[74] M. A. Gennert. Brightness-based stereo matching. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pages 138-143, Tampa, États-Unis, décembre 1988.
[ bib ]
[75] B. Georgescu and P. Meer. Point matching under large image deformations and illumination changes. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 26(6):674-688, juin 2004.
[ bib ]
[76] A. Ghafoor, R. Naveed Iqbal, and S. Shoad Khan. Image matching using distance transform. In proceedings of Scandinavian Conference on Image Analysis, SCIA, pages 654-660, Göteborg, Suède, juin 2003.
[ bib ]
[77] M. Gong. Motion estimation using dynamic programming with selective path search. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 4, pages 203-206, Cambridge, Royaume-Uni, août 2004.
[ bib ]
[78] M. Gong and Y.-H. Yang. Genetic-based stereo algorithm and disparity map evaluation. International Journal of Computer Vision, IJCV, 47(1-3):63-77, avril 2002.
[ bib ]
[79] M. Gong and Y.-H. Yang. Fast stereo matching using reliability-based dynamic programming and consistency contraints. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 1, pages 610-617, Nice, France, octobre 2003.
[ bib ]
[80] M. Gong and Y.-H. Yang. Fast unambiguous stereo matching using reliability-based dynamic programming. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 27(6):998-1003, juin 2005.
[ bib ]
[81] M. Gong and Y.-H. Yang. Near real-time reliable stereo matching using programmable graphics hardware. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 1, pages 924-931, San Diego, États-Unis, juin 2005.
[ bib ]
[82] V. Gouet, P. Montesinos, R. Deriche, and D. Pelé. Évaluation de détecteurs de points d'intérêt pour la couleur. In actes du Congrès AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA, pages 257-266, Paris, France, février 2000.
[ bib ]
[83] V. Gouet, P. Montesinos, and D. Pel. A fast matching method for color uncalibrated images using differential invariants. In proceedings of British Machine Vision Conference, BMVC, pages 367-376, Southampton, Royaume-Uni, septembre 1998.
[ bib ]
[84] J. Y. Goulermas and P. Liatsis. A collective-based adaptive symbiotic model for surface reconstruction in area-based stereo. IEEE Transactions on Evolutionary Computation, 7(5):482-502, octobre 2003.
[ bib ]
[85] P. Gros, G. MacLean, R. Delon, R. Mohr, C. Schmid, and G. Mistler. Utilisation de la couleur pour l'appariement et l'indexation d'images. Rapport de recherche RR-3269, Institut National de Recherche en Informatique et en Automatique, INRIA, septembre 1997.
[ bib ]
[86] S. Gutiérrez and J. Luis Marroquín. Robust approach for disparity estimation in stereo vision. International Journal of Image and Vision Computing, IVC, 22(3):183-195, mars 2004.
[ bib ]
[87] M. Gökstorp and C.-J. Westelius. Multiresolution differential-based disparity estimation. In proceedings of Scandinavian Conference on Image Analysis, SCIA, pages 67-76, Uppsala, Suède, juin 1995.
[ bib ]
[88] K.-P. Han, K.-W. Song, E.-Y. Chung, S.-J. Cho, and Y.-H. Ha. Stereo matching using genetic algorithm with adaptive chromosomes. The Journal of the Pattern Recognition Society, PR, 34(9):1729-1740, septembre 2001.
[ bib ]
[89] C. Harris and M. Stephens. A combined corner and edge detector. In Alvey Vision Conference, pages 147-151, Manchester, Royaume-Uni, janvier 1988.
[ bib ]
[90] R. I. Hartley. Theory and practice of projective rectification. International Journal of Computer Vision, IJCV, 35(2):115-127, novembre-décembre 1999.
[ bib ]
[91] D. Hasler, L. Sbaiz, S. Süsstrunk, and M. Vetterli. Outlier modelling in image matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 25(3):301-315, mars 2003.
[ bib ]
[92] Y. Haxhimusa and W. G. Kropatsch. Paths lengths in stochastic graph image pyramid. In proceedings of Workshop of the Austrian Association for Pattern Recognition, AAPR, pages 79-86, Graz, Autriche, septembre 2002.
[ bib ]
[93] G. Hermosillo Valadez. Variational Methods for Multimodal Image Matching. Thèse de doctorat, Université de Nice - Sophia Antipolis, France, mai 2002.
[ bib ]
[94] H. Hirschmüller. Accurate and efficient stereo processing by semi-global matching and mutual information. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 2, pages 807-814, San Diego, États-Unis, juin 2005.
[ bib ]
[95] H. Hirschmüller, P. R. Innocent, and J. Garibaldi. Real-time correlation-based vision with reduced border errors. International Journal of Computer Vision, IJCV, 47(1-3):229-246, avril-juin 2002.
[ bib ]
[96] J. Holland. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and, Artificial Intelligence. Massachusetts Institute of Technology, MIT Press, 1975.
[ bib ]
[97] L. Hong and G. Chen. Segment-based stereo matching using graph cuts. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 1, pages 74-81, Washington, États-Unis, juin-juillet 2004.
[ bib ]
[98] J. J. Hopfield. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences, 79(8):2254-2258, avril 1982.
[ bib ]
[99] R. Horaud and O. Monga. Vision par ordinateur, outils fondamentaux. Traité des nouvelles technologies, série Informatique. Hermès, Paris, France, 1993.
[ bib ]
[100] R. Horaud and T. Skordas. Stereo correspondence trough feature grouping and maximal cliques. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 11(11):1168-1180, novembre 1989.
[ bib ]
[101] J. Hu and P. Siy. Stereo correspondence through multiple constraint neural networks. In IEEE International Conference on Neural Networks, volume 2, pages 332-342, San Francisco, États-Unis, mars 1993.
[ bib ]
[102] S. S. Intille and A. F. Bobick. Disparity-space images and large occlusion stereo. In proceedings of European Conference on Computer Vision, ECCV, volume 1, pages 179-186, Stockholm, Suède, mai 1994.
[ bib ]
[103] H. Ishikawa. Global Optimization Using Embedded Graphs. PhD thesis, Université de New-York, États-Unis, mai 2000.
[ bib ]
[104] H. Ishikawa and D. Geiger. Occlusions, discontinuities, and epipolar lines in stereo. In proceedings of European Conference on Computer Vision, ECCV, volume 1, pages 232-248, Fribourg, Allemagne, juin 1998.
[ bib ]
[105] A. Jagmohan, M. Singh, and N. Ahuja. Dense stereo matching using kernel maximum likelihood estimation. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 3, pages 28-31, Cambridge, Royaume-Uni, août 2004.
[ bib ]
[106] H. Jahn. Binocular stereo matching by local attraction. In proceedings of International Conference on Computer Analysis of Images and Patterns, CAIP, pages 676-683, Varsovie, Pologne, septembre 2001.
[ bib ]
[107] C. V. Jawahar and P. J. Narayanan. Generalised correlation for multi-feature correspondence. The Journal of the Pattern Recognition Society, PR, 35(6):1303-1313, juin 2002.
[ bib ]
[108] H. Jibrini, M. Pierrot-Deseilligny, N. Paparoditis, and H. Maître. Détermination d'une surface polyédrique continue optimale à partir d'un fouillis de plans. In actes du Congrès AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA, volume 1, pages 175-183, Toulouse, France, janvier 2004.
[ bib ]
[109] J. M. Jolion. Stochastic pyramid revisited. Pattern Recognition Letters, PRL, 24(8):1335-1342, mai 2003.
[ bib ]
[110] D. G. Jones and J. Malik. A computational framework for determining stereo correspondence from a set of linear spatial filters. International Journal of Image and Vision Computing, IVC, 10(10):699-708, décembre 1992.
[ bib ]
[111] G. A. Jones. Constraint, optimization, and hierarchy: Reviewing stereoscopic correspondence of complex features. International Journal of Computer Vision, IJCV, 65(1):57-58, janvier 1997.
[ bib ]
[112] I.-K. Jung and S. Lacroix. A robust interest points matching algorithm. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 2, pages 538-543, Vancouver, Canada, juillet 2001.
[ bib ]
[113] F. Jurie. Reconnaissance d'objets volumiques par mise en correspondance d'indices visuels. Traitement du signal, TS, 18(5-6):321-345, 2001.
[ bib ]
[114] T. Kanade, A. Yoshida, K. Oda, H. Kano, and M. Tanaka. A stereo machine for video-rate dense depth mapping and its new applications. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pages 196-202, San Francisco, États-Unis, juin 1996.
[ bib ]
[115] S. Kaneko, I. Murase, and S. Igarashi. Robust image registration by increment sign correlation. The Journal of the Pattern Recognition Society, PR, 35(10):2223-2234, octobre 2002.
[ bib ]
[116] S. B. Kang, R. Szeliski, and J. Chai. Handling occlusions in dense multi-view stereo. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 1, pages 103-110, Kauai, États-Unis, décembre 2001.
[ bib ]
[117] A. Kaplan and E. Rivlin. Robust feature matching across widely separated color images. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 2, pages 136-139, Cambridge, Royaume-Uni, août 2004.
[ bib ]
[118] 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. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 2, pages 1075-1082, San Diego, États-Unis, juin 2005.
[ bib ]
[119] R. Koch, M. Pollefeys, and L. Van Gool. Multi viewpoint stereo from uncalibrated video sequences. In proceedings of European Conference on Computer Vision, ECCV, volume 1, pages 55-71, Fribourg, Allemagne, juin 1998.
[ bib ]
[120] V. Kolmogorov and R. Zabih. Computing visual correspondence with occlusions using graph cuts. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 2, pages 508-515, Vancouver, Canada, juillet 2001.
[ bib ]
[121] V. Kolmogorov and R. Zabih. Multi-camera scene reconstruction via graph cuts. In proceedings of European Conference on Computer Vision, ECCV, volume 2, pages 82-96, Copenhague, Danemark, mai 2002.
[ bib ]
[122] A. Koschan. Dense stereo correspondence using polychromatic block matching. In proceedings of International Conference on Computer Analysis of Images and Patterns, CAIP, volume 719 of Lecture Notes in Computer Science, pages 538-542, Budapest, Hongrie, septembre 1993.
[ bib ]
[123] A. Koschan and V. Rodehorst. Dense depth maps by active color illumination and image pyramids. In F. Solina, W. G. Kropatsch, R. Klette, and R. Bajcsy, editors, Advances in Computer Vision, pages 137-148. Springer-Verlag, New-York, octobre 1997.
[ bib ]
[124] J. Kostková and R. Sára. Stable matching based on disparity components. In proceedings of Computer Vision Winter Workshop, pages 140-148, Bad Ausse, Autriche, février 2002.
[ bib ]
[125] J. Kostková and R. Sára. Stratified dense matching for stereopsis in complex scenes. In proceedings of British Machine Vision Conference, BMVC, volume 1, pages 339-348, Norwich, Royaume-Uni, septembre 2003.
[ bib ]
[126] W. G. Kropatsch. Building irregular pyramids by dual graph contraction. IEE Proceedings of Vision, Image and Signal Processing, VISP, 142(6):366-374, décembre 1995.
[ bib ]
[127] S. Lai. Robust image matching under partial occlusion and spatially varying illumination change. Computer Vision and Image Understanding, CVIU, 78(1):84-98, avril 2000.
[ bib ]
[128] M. Lantagne, M. Parizeau, and R. Bergevin. VIP : Vision tool for comparing images of people. Vision Interface, 2003.
[ bib ]
[129] L. Laurence. Navigation sous-marine référencée terrain par mise en correspondance de cartes bathymétriques. Thèse de doctorat, Université de Nice - Sophia Antipolis, France, janvier 1998.
[ bib ]
[130] G. Le Besnerais and H. Oriot. Disparity estimation for high resolution stereoscopic reconstruction using GNC approach. In IEEE Conference Proceedings of International Conference on Image Processing, ICIP, volume 2, pages 594-597, Chicago, États-Unis, octobre 1998.
[ bib ]
[131] S. H. Lee, Y. Kanatsugu, and J.-I Park. MAP-based stochastic diffusion for stereo matching and line fields estimation. International Journal of Computer Vision, IJCV, 47(1-3):195-218, avril 2002.
[ bib ]
[132] M. Leordeanu and M. Hebert. A spectral technique for correspondence problems using pairwise constraints. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 2, pages 1482-1489, Beijing, Chine, octobre 2005.
[ bib ]
[133] C. Leung, B. Appleton, B. C. Lovell, and C. Sun. An energy minimisation approach to stereo-temporal dense reconstruction. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 4, pages 72-75, Cambridge, Royaume-Uni, août 2004.
[ bib ]
[134] C. Leung, B. Appleton, and C. Sun. Fast stereo matching by iterated dynamic programming and quadtree subregioning. In proceedings of British Machine Vision Conference, BMVC, volume 4, pages 97-106, Londres, Royaume-Uni, août 2004.
[ bib ]
[135] M. Lhuillier and L. Quan. Robust dense matching using local and global geometric constraints. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 1, pages 968-972, Barcelone, Espagne, septembre 2000.
[ bib ]
[136] M. Lhuillier and L. Quan. Reconstruction quasi-dense de modèles 3d à partir d'une séquence d'images. In actes du Congrès AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle, RFIA, volume 2, pages 895-904, Toulouse, France, janvier 2004.
[ bib ]
[137] M. H. Lin. Surfaces with Occlusions from Layered Stereo. PhD thesis, Université de Stanford, États-Unis, 2002.
[ bib ]
[138] H. Ling and D. W. Jacobs. Deformation invariant image matching. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 2, pages 1466-1473, Beijing, Chine, octobre 2005.
[ bib ]
[139] J. L. Lotti and G. Giraudon. Correlation algorithm with adaptive window for aerial image in stereo vision. In proceedings of European Symposium on Satellite Remote Sensing, pages 2315-2325, Rome, Italie, septembre 1994.
[ bib ]
[140] A. Luo and H. Burkhardt. An intensity-based cooperative bidirectional stereo matching with simultaneous detection of discontinuities and occlusions. International Journal of Computer Vision, IJCV, 15(3):171-188, juillet 1995.
[ bib ]
[141] D. Maier, A. Rössle, J. Hesser, and R. Männer. Dense disparity maps respecting occlusions and object separation using partial differential equations. In Digital Image Computing: Techniques and Applications, pages 613-622, Sydney, Australie, décembre 2003.
[ bib ]
[142] R. Manduchi and C. Tomasi. Distinctiveness maps for image matching. In proceedings of International Conference on Image Analysis and Processing, ICIAP, pages 26-31, Venise, Italie, septembre 1999.
[ bib ]
[143] D. Marr and T. Poggio. Cooperative computation of stereo disparity. Science, 194(4262):283-287, 1976.
[ bib ]
[144] J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. In proceedings of British Machine Vision Conference, BMVC, volume 1, pages 384-393, Cardiff, Royaume-Uni, septembre 2002.
[ bib ]
[145] H. Mayer. Analysis of means to improve cooperative disparity estimation. In proceedings of ISPRS Conference on Photogrammetric Image Analysis, PIA, pages 25-31, Université technique de Munich, Allemagne, septembre 2003.
[ bib ]
[146] Z. Megyesi and D. Chetverikov. Affine propagation for surface reconstruction in wide baseline stereo. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 4, pages 76-79, Cambridge, Royaume-Uni, août 2004.
[ bib ]
[147] C. Menard and W. G. Kropatsch. Adaptive stereo matching in correlation scale-space. In proceedings of International Conference on Image Analysis and Processing, ICIAP, volume 2, pages 677-684, Florence, Italie, septembre 1997.
[ bib ]
[148] N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, and A. H. Teller. Equation of state calculations by fast computing machines. The Journal of Chemical Physics, 21(6):1087-1092, juin 1953.
[ bib ]
[149] R. Mohan, G. Medioni, and R. Nevatia. Stereo error detection, correction, and evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 11(2):113-120, février 1989.
[ bib ]
[150] A. Montanvert, P. Meer, and A. Rosenfeld. Hierarchical image analysis using irregular tessellations. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 13(4):307-316, avril 1991.
[ bib ]
[151] P. Mordohai and G. Medioni. Stereo using monocular cues within the tensor voting framework. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 28(6):968-982, juin 2006.
[ bib ]
[152] A. Muñoz Barrutia, T. Blu, and M. Unser. Non-euclidean pyramids. In proceedings of Mathematical Imaging: Wavelet Applications in Signal and Image Processing, volume SPIE-4119, pages 710-720, San Diego, États-Unis, juillet 2000.
[ bib ]
[153] K. Mühlmann, D. Maier, J. Hesser, and R. Männer. Calculating dense disparity maps from color stereo images, an efficient implementation. In IEEE Conference Proceedings of Workshop on Stereo and Multi-Baseline Vision, SMBV, pages 30-36, Kauai, États-Unis, juin 2001.
[ bib ]
[154] M. L. Nack. Temporal registration of multispectral digital satellite images using their edge images. In AAS/AIAA/Astrodynamics Specialist Conference, pages papier AAS75-104, Nassau, Bahamas, juillet 1975.
[ bib ]
[155] N. M. Nasrabadi. A stereo vision technique using curve-segments and relaxation matching. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 14(5):566-572, mai 1992.
[ bib ]
[156] N. M. Nasrabadi and C. Y. Choo. Hopfield network for stereo vision correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 3(1):5-13, janvier 1992.
[ bib ]
[157] H. K. Nishihara and P. A. Crossley. Measuring photographic overlay accuracy and critical dimensions by correlating binarized laplacian of gaussian convolutions. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 10(1):17-30, janvier 1988.
[ bib ]
[158] Y.-I. Ohta and T. Kanade. Stereo by intra- and inter-scanline search using dynamic programming. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 7(2):139-154, mars 1985.
[ bib ]
[159] J.-J. Orteu, D. Garcia, and M. Devy. Mesure de formes et de champs de déplacements tridimensionnels par stéréo-corrélation d'images : applications en mécanique expérimentale. Photoniques - La Revue de la Société Française d'Optique, 10:34-43, juin 2003.
[ bib ]
[160] G. Pajares and J. M. De La Cruz. Stereovision matching through support vector machines. Pattern Recognition Letters, PRL, 24(15):2575-2583, novembre 2003.
[ bib ]
[161] H.-P. Pan. General stereo matching using symmetric complex wavelets. In Wavelet Applications in Signal and Image Processing IV, volume SPIE-2825, pages 697-721, Denver, États-Unis, août 1996.
[ bib ]
[162] N. Paparoditis, M. Cord, M. Jordan, and J.-P. Cocquerez. Building detection and reconstruction from mid- and high-resolution aerial imagery. Computer Vision and Image Understanding, CVIU, 72(2):122-142, novembre 1998.
[ bib ]
[163] S. Paris and F. Sillion. Optimisation à base de flot de graphe pour l'acquisition d'informations 3d à partir de séquences d'images. In Actes des 15ème journées de l'AFIG, Association Française d'Informatique Graphique, pages 165-182, Villeurbanne, France, décembre 2002.
[ bib ]
[164] C. S. Park and H. W. Park. A robust stereo disparity estimation using adaptive window search and dynamic programming search. The Journal of the Pattern Recognition Society, PR, 34(12):2573-2576, décembre 2001.
[ bib ]
[165] S. Y. Park, J. S. Kim, S. H. Lee, N. I. Cho, G.-S. Lee, and C.-H. Ahn. Composition of high-resolution stereo images from hybrid stereo system. In proceedings of International Workshop on Advanced Image Technology, WAIT, Nagasaki, Japon, janvier 2003.
[ bib ]
[166] J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers, San Francisco, États-Unis, 1988.
[ bib ]
[167] S. Peleg and G. Ron. Nonlinear multiresolution: A shape-from-shading example. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 12(12):1206-1210, décembre 1990.
[ bib ]
[168] E. G. M. 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, PAMI, 24(11):1501-1516, novembre 2002.
[ bib ]
[169] P. Pritchett and A. Zisserman. Matching and reconstruction from widely separated views. In proceedings of European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, SMILE, volume 1506 of Lecture Notes in Computer Science, pages 78-92, Fribourg, Allemagne, juin 1998.
[ bib ]
[170] C. Rao, A. Gritai, and M. Shah. View-invariant alignment and matching of video sequences. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 2, pages 939-945, Nice, France, octobre 2003.
[ bib ]
[171] L. Robert and R. Deriche. Dense depth map reconstruction : A minimization and regularization approach which preserves discontinuities. In proceedings of European Conference on Computer Vision, ECCV, volume A, pages 439-451, Cambridge, Royaume-Uni, avril 1996.
[ bib ]
[172] 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, 20(10):1038-1049, octobre 2001.
[ bib ]
[173] P. Rogelj, S. Kovacic, and J. C. Gee. Point similarity measures for non-rigid registration of multi-modal data. Computer Vision and Image Understanding, CVIU, 92(1):112-140, octobre 2003.
[ bib ]
[174] S. Roy and I. J. Cox. A maximum-flow formulation of the n-camera stereo correspondence problem. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, pages 492-499, Bombai, Inde, janvier 1998.
[ bib ]
[175] M. Rziza, A. Tamtaoui, L. Morin, and D. Aboutajdine. Estimation and segmentation of a dense disparity map for 3d reconstruction. In IEEE Conference Proceedings of International Conference on Acoustics, Speech and Signal Processing, ICASSP, Istamboul, Turquie, mars 2000.
[ bib ]
[176] H. Saito and M. Mori. Application of genetic algorithms to stereo matching of images. Pattern Recognition Letters, PRL, 16(8):815-821, août 1995.
[ bib ]
[177] M. Sankar Kishore and K. Veerabhadra Rao. A study of correlation technique on pyramid processed images. Sadhana, Academy Proceedings in Engineering Sciences, 25(1):37-43, février 2000.
[ bib ]
[178] D. Scharstein and R. Szeliski. A taxomomy and evaluation of dense two-frame stereo correspondence algorithms. International Journal of Computer Vision, IJCV, 47(1):7-42, avril 2002.
[ bib ]
[179] C. Schmid and R. Mohr. Matching by local invariants. Rapport de recherche RR-2644, Institut National de Recherche en Informatique et en Automatique, INRIA, août 1995.
[ bib ]
[180] H. W. Schreier, J. R. Braasch, and M. A. Sutton. Systematic errors in digital image correlation caused by intensity interpolation. Optical engineering, 39(11):2915-2921, novembre 2000.
[ bib ]
[181] P. Seitz. Using local orientational information as image primitive for robust object recognition. In Visual Communication and Image Processing IV, volume SPIE-1199, pages 1630-1639, 1989.
[ bib ]
[182] D. Semani, M. Chambah, and P. Courtellemont. Processing of underwater colour images applied to live aquarium videos. International Journal of Robotics and Automation, IJRA, 20(2):123-130, 2005.
[ bib ]
[183] J. Shao. Generation of temporally consistent multiple virtual camera views from stereoscopic image sequences. International Journal of Computer Vision, IJCV, 47(2):171-180, avril 2002.
[ bib ]
[184] H. Shekarforoush, M. Berthod, and J. Zerubia. Subpixel image registration by estimating the polyphase decomposition of the cross power spectrum. Rapport de recherche RR-2707, Institut National de Recherche en Informatique et en Automatique, INRIA, Sophia-Antipolis, France, novembre 1995.
[ bib ]
[185] J. Shi and C. Tomasi. Good features to track. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pages 593-600, Seattle, États-Unis, juin 1994.
[ bib ]
[186] M. Shimizu and M. Okutomi. Sub-pixel estimation error cancellation on area-based matching. International Journal of Computer Vision, IJCV, 63(3):207-224, juillet 2005.
[ bib ]
[187] C. Silva and J. Santos-Victor. Intrinsic images for dense stereo matching with occlusions. In proceedings of European Conference on Computer Vision, ECCV, volume 1, pages 100-114, Dublin, Irlande, juin-juillet 2000.
[ bib ]
[188] P. Smith, D. Sinclair, R. Cipolla, and K. Wood. Effective corner matching. In proceedings of British Machine Vision Conference, BMVC, pages 545-556, Southampton, Royaume-Uni, septembre 1998.
[ bib ]
[189] P. W. Smith and N. Nandhakumar. An improved power cepstrum based stereo correspondence method for textured scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 18(3):338-348, mars 1996.
[ bib ]
[190] S. Smith and J. Brady. SUSAN - a new approach to low level image processing. International Journal of Computer Vision, IJCV, 23(1):45-78, mai 1997.
[ bib ]
[191] J. P. P. Starink and E. Backer. Finding point correspondences using simulated annealing. The Journal of the Pattern Recognition Society, PR, 28(2):231-240, février 1995.
[ bib ]
[192] C. Stock and A. Pinz. Similarity measure for corner redetection. In proceedings of Scandinavian Conference on Image Analysis, SCIA, pages 133-139, Göteborg, Suède, juin 2003.
[ bib ]
[193] C. Sun. Fast optical flow using 3d shortest path techniques. International Journal of Image and Vision Computing, IVC, 20(13-14):981-991, décembre 2002.
[ bib ]
[194] J. Sun. Stereo matching using belief propagation. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 25(7):787-800, décembre 2003.
[ bib ]
[195] J. Sun, Y. Li, S. B. Kang, and H.-Y. Shum. Symmetric stereo matching for occlusion handling. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 2, pages 399-406, San Diego, États-Unis, juin 2005.
[ bib ]
[196] R. Szeliski. Sampling the disparity space image. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 26(3):419-425, mars 2004.
[ bib ]
[197] R. Szeliski and D. Scharstein. Symmetric sub-pixel stereo matching. In proceedings of European Conference on Computer Vision, ECCV, volume 2, pages 525-540, Copenhague, Danemark, mai 2002.
[ bib ]
[198] H. Tao and H. S. Sawhnwey. Global matching criterion and color segmentation based stereo. In IEEE Conference Proceedings of Workshop on Applications of Computer Vision, WACV, pages 246-253, Palm Springs, États-Unis, décembre 2000.
[ bib ]
[199] H. Tao, H. S. Sawhnwey, and R. Kumar. A global matching framework for stereo computation. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 2, pages 532-539, Vancouver, Canada, juillet 2001.
[ bib ]
[200] M. F. Tappen and W. T. Freeman. Comparison of graph cuts with belief propagation for stereo, using identical mrf parameters. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 2, pages 900-907, Nice, France, octobre 2003.
[ bib ]
[201] Q. Tian and M. N. Huhns. Algorithms for subpixel registration. Computer Vision, Graphics, and Image Processing: Image Understanding, CVGIP, 35(2):220-233, août 1986.
[ bib ]
[202] P. H. S. Torr and A. Criminisi. Dense stereo using pivoted dynamic programming. International Journal of Image and Vision Computing, IVC, 22(10):795-806, septembre 2004.
[ bib ]
[203] C. Tsai and A. K. Katsaggelos. Dense disparity estimation with a divide-and-conquer disparity space image technique. IEEE Transactions on Multimedia, 1(1):18-29, mars 1999.
[ bib ]
[204] D.-C. Tseng and C.-H. Chang. Color segmentation using perceptual attributes. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 3, pages 228-231, La Haye, Hollande, septembre 1992.
[ bib ]
[205] T. Tuytelaars and L. Van Gool. Wide baseline stereo matching based on local, affinely invariant regions. In proceedings of British Machine Vision Conference, BMVC, volume 1, pages 412-422, Bristol, Royaume-Uni, septembre 2000.
[ bib ]
[206] 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, PAMI, 19(8):891-898, août 1997.
[ bib ]
[207] F. Ullah, S. Kaneko, and S. Igarashi. Orientation code matching for robust object search. Proceedings of IEICE Transactions on Information and Systems, E-84-D(8):999-1006, mars 2001.
[ bib ]
[208] O. Veksler. Efficient graph-based energy minimization methods in computer vision. PhD thesis, Université de Cornell, Ithaca, États-Unis, août 1999.
[ bib ]
[209] O. Veksler. Dense features for semi-dense stereo correspondence. In IEEE Conference Proceedings of Workshop on Stereo and Multi-Baseline Vision, SMBV, pages 149-157, Kauai, États-Unis, juin 2001.
[ bib ]
[210] O. Veksler. Fast variable window for stereo correspondence using integral images. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 1, pages 565-570, Madison, États-Unis, juin 2003.
[ bib ]
[211] O. Veksler. Stereo correspondence by dynamic programming on a tree. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 2, pages 384-390, San Diego, États-Unis, juin 2005.
[ bib ]
[212] A. J. Viterbi. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Transactions on Information Theory, 13(2):260-269, avril 1967.
[ bib ]
[213] J. Wang and C. Hsiao. On disparity matching in stereo vision via a neural network framework. National Science Council, 23(5):665-678, mars 1999.
[ bib ]
[214] L. Wang, S. B. Kang, H.-Y. Shum, and G. Xu. Cooperative segmentation and stereo using perspective space search. In proceedings of Asian Conference on Computer Vision, ACCV, pages 366-371, Jeju, Corée du sud, janvier 2004.
[ bib ]
[215] Q.-Q. Wei, W. Brauer, and G. Hirzinger. Intensity- and gradient-based stereo matching using hierarchical gaussian basis functions. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 20(11):1143-1160, novembre 1998.
[ bib ]
[216] Y. Wei and L. Quan. Region-based progressive stereo matching. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, volume 1, pages 106-113, Washington, États-Unis, juin-juillet 2004.
[ bib ]
[217] Y. Weiss and W. T. Freeman. On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs. IEEE Transactions on Information Theory, 47(2):736-744, février 2001.
[ bib ]
[218] J. Weng, N. Ahuja, and T. S. Huang. Matching two perspective views. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 14(8):806-825, juillet 1992.
[ bib ]
[219] J. Xiao and M. Shah. Two-frame wide baseline matching. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 1, pages 603-609, Nice, France, octobre 2003.
[ bib ]
[220] G. Xu. A unified approach to image matching and segmentation in stereo, motion, and object recognition via recovery of epipolar geometry. Videre: Journal of Computer Vision Research, 1(1):22-54, 1997.
[ bib ]
[221] Y. Yang, A. Yuille, and J. Lu. Local, global, and multilevel stereo matching. In IEEE Conference Proceedings of Computer Vision and Pattern Recognition, CVPR, pages 274-279, New-York, États-Unis, juin 1993.
[ bib ]
[222] J. S. Yedidia, W. T. Freeman, and Y. Weiss. Constructing free-energy approximations and generalized belief propagation algorithms. IEEE Transactions on Information Theory, 51(7):2282-2312, juillet 2005.
[ bib ]
[223] R. Zabih and J. Woodfill. Non-parametric local transforms for computing visual correspondence. In proceedings of European Conference on Computer Vision, ECCV, pages 151-158, Stockholm, Suède, mai 1994.
[ bib ]
[224] X. Zhang and Y. Liu. Point pattern matching for articulated or multiple objects. In IEEE Conference Proceedings of International Conference on Pattern Recognition, ICPR, volume 3, pages 630-633, Cambridge, Royaume-Uni, août 2004.
[ bib ]
[225] Y. Zhang and C. Kambhamettu. Stereo matching with segmentation-based cooperation. In proceedings of European Conference on Computer Vision, ECCV, volume 2, pages 556-571, Copenhague, Danemark, mai 2002.
[ bib ]
[226] Z. Zhang. Le problème de la mise en correspondance : l'état de l'art. Rapport de recherche RR-2146, Institut National de Recherche en Informatique et en Automatique, INRIA, décembre 1993.
[ bib ]
[227] Z. Zhang. Determining the epipolar geometry and its uncertainty: A review. Rapport de recherche RR-2927, Institut National de Recherche en Informatique et en Automatique, INRIA, juillet 1996.
[ bib ]
[228] Z. Zhang and Y. Shan. A progressive scheme for stereo matching. In proceedings of European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, SMILE, volume 2018 of Lecture Notes in Computer Science, pages 68-85, Dublin, Irlande, juillet 2000.
[ bib ]
[229] T. E. Zickler, J. Ho, D. J. Kriegman, J. Ponce, and P. N. Belhumeur. Binocular helmholtz stereopsis. In IEEE Conference Proceedings of International Conference on Computer Vision, ICCV, volume 2, pages 1411-1417, Nice, France, octobre 2003.
[ bib ]
[230] C. L. Zitnick and T. Kanade. A cooperative algorithm for stereo matching and occlusion detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 22(7):675-684, juillet 2000.
[ bib ]
[231] I. Zoghlami, O. Faugeras, and R. Deriche. Traitement des occlusions pour la modification d'objet plan dans une séquence d'image. In actes du congrès francophone de Vision par Ordinateur, ORASIS, pages 93-103, Clermont-Ferrand, France, mai 1996.
[ bib ]

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