Computational Stereo Matching
Computational Stereo Matching is a computational method in computer vision that belongs to the class of depth estimation techniques, specifically distinguished by its use of corresponding pixels from stereo image pairs to calculate depth information through geometric and photometric constraints.
33
Publications
3.7K
Citations
96
Authors
41
Institutions
Publications per year
2017–2026
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Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
358 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
2 publications
613 citations
LG (South Korea)
Seoul, South Korea
1 h-index
1 publications
22 citations
Intelligent Machines (Sweden)
Bromma, Sweden
1 h-index
1 publications
83 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
1 publications
1.8K citations
Kyungpook National University
Daegu, South Korea
1 h-index
3 publications
120 citations
Seattle University
Seattle, United States
1 h-index
1 publications
75 citations
Harvard University
Cambridge, United States
1 h-index
2 publications
98 citations
1–8 of 41
2 publications · 51 citations
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TPAMI · 2 publications · 561 citations
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Repository · 1 publications · 38 citations
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1 publications · 18 citations
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1 publications · 15 citations
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