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  A cooperative algorithm for stereo matching and occlusion detection (2000) [51 citations — 1 self]

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by C. Lawrence Zitnick, Takeo Kanade, States Government
IEEE Transactions on Pattern Analysis and Machine Intelligence
http://www.ri.cmu.edu/pub_files/pub2/zitnick_charles_1999_1/zitnick_charles_1999_1.ps.gz
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Abstract:

authors and should not be interpreted as necessarily representing official policies or

Citations

229 A computational theory of human stereo vision – Marr, Poggio - 1979
195 A stereo matching algorithm with an adaptive window: Theory and experiment – Kanade, Okutomi - 1994
165 Stereo by intra- and inter-scanline search using dynamic programming – Ohta, Kanade - 1985
158 Cooperative computation of stereo disparity – Marr, Poggio - 1976
107 A Space-Sweep Approach to True Multi-Image – Collins - 1996
107 A stereo correspondence algorithm using a disparity gradient limit – Pollard, Mayhew, et al. - 1985
101 Occlusions and binocular stereo – Geiger, Ladendorf, et al. - 1995
97 A Parallel Stereo Algorithm that Produces Dense Depth Maps and Preserves Image Features – Fua - 1993
91 Depth from edges and intensity based stereo – Baker, Binford - 1981
83 Markov random fields with efficient approximations – Veksler, Zabih - 1998
75 ªComputational Experiments with a Feature Based Stereo Algorithm,º – Grimson - 1985
69 Stereo matching with nonlinear diffusion – Scharstein, Szeliski - 1998
66 Stereo matching with transparency and matting – Szeliski, Golland - 1999
65 Disparity-space images and large occlusion stereo – Intille, Bobick - 2002
58 ªA Bayesian Treatment of the Stereo Correspondence Problem Using Half Occluded Regions,º – Belhumeur, Mumford - 1992
51 Detection of binocular disparities – Prazdny - 1985
32 ªRobot Spatial Perception by Stereoscopic Vision and 3D Evidence Grids,º CMU Robotics Institute – Moravec - 1996
32 An experimental comparison of stereo algorithms – Szeliski, Zabih - 1999
23 Occlusion detectable stereo -occlusion patterns in camera matrix – Nakamura, Matsuura, et al. - 1996
19 A Parallel Stereo Algorithm that – Fua - 1993
15 ªAn Iterative Prediction and Correction Method for Automatic Stereo – Mori, Kidode, et al. - 1973
15 Stereo vision for robotics – Nishihara, Poggio - 1984
12 Computer determination of depth maps – Levine, O'Handley, et al. - 1973
10 ªA Volumetric Iterative Approach to Stereo Matching and Occlusion Detection,º CMU – Zitnick, Kanade - 1998
9 A flexible approach to digital stereo mapping – Panton - 1978
8 Photogrammetric Standard Methods and Digital Image Matching Techniques for High Precision Surface Measurements – Forstner, Pertl - 1986
8 ªA Parallel Binocular Stereo Algorithm Utilizing Dynamic Programming and Relaxation – Lloyd, Haddow, et al. - 1987
7 A flexible approach to digital stereo mapping. Photogrammetric Engg – Panton - 1978
6 Realities of automatic correlation problem – Wood - 1983
5 Stereo Vision – Barnard, Fischler - 1987
5 Incorporating Intensity Edges in the Recovery of Occlusion Regions – Intille, Bobick - 1994
4 ªMarkov Random Fields with Efficient Approximations,º – Boykov, Veksler, et al. - 1998
3 ªOcclusions and Binocular Stereo,º Int'l – Geiger, Ladendorf, et al. - 1995
3 ªA Computational Theory of Human Stereo Vision,º Proc – Marr, Poggio - 1979
3 ªA Multiple-Baseline Stereo,º – Okutomi, Kanade - 1993
2 A multiple-baseline stereo," in – Okutomi, Kanade - 1993
2 ªDepth from Edge and Intensity Based Stereo,º – Baker, Binford - 1981
2 ªStereo Vision,º Encyclopedia of – Barnard, Fischler - 1987
2 ªIncorporating Intensity Edges in the Recovery of Occlusion Regions,º – Intille, Bobick - 1994
2 ªDisparity-Space Images and Large Occlusion Stereo,º – Intille, Bobick - 1994
2 ªComputer Determination – Levine, O'Handley, et al. - 1973
2 ªCooperative Computation of Stereo Disparity,º – Marr, Poggio - 1976
2 ªOcclusion Detectable StereoÐOcclusion – Nakamura, Matsuura, et al. - 1996
2 ªStereo Vision for Robotics,º – Nishihara, Poggio - 1984
2 ªThe Marr and Poggio algorithm for real scenes was not defined so any implementation will be a change; however the algorithm worked well on random-dot stereograms and there are several papers to support this,º Personal communication – Poggio - 1999
2 ªDetection of Binocular Disparities,º – Prazdny - 1985
2 ªStereo Matching with Nonlinear Diffusion,º Int'l – Scharstein, Szeliski - 1998
2 ªRealities of Automatic Correlation Problem,º Photogrammetric – Wood - 1983
1 Personal communication, "The Marr and Poggio algorithm for real scenes was not defined so any implementation will be a change; however the algorithm worked well on random-dot stereograms and there are several papers to support this – Poggio - 1999
1 Personal communication, “The Marr and Poggio algorithm for real scenes was not defined so any implementation will be a change; however the algorithm worked well on random-dot stereograms and there are several papers to support this – Poggio - 1999