Stereo Matching
Stereo Matching is a computational method in stereo vision that identifies corresponding pixels between two rectified images captured from offset viewpoints to compute disparity maps for depth estimation and scene understanding.
2.4K
Publications
168.9K
Citations
5.7K
Authors
1.3K
Institutions
Publications per year
2017–2026
686
2.4K
1–5 of 2.4K
5.7K
18
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15
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1–5 of 5.7K
1.3K
Microsoft (United States)
Redmond, United States
32 h-index
57 publications
12.6K citations
Carnegie Mellon University
Pittsburgh, United States
28 h-index
99 publications
11.5K citations

Chinese Academy of Sciences
Beijing, China
26 h-index
98 publications
5.8K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
24 h-index
57 publications
6.7K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
23 h-index
79 publications
6.2K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
23 h-index
64 publications
7K citations
Tsinghua University
Beijing, China
22 h-index
102 publications
4.4K citations
ETH Zurich
Zurich, Switzerland
22 h-index
63 publications
5.7K citations
1–8 of 1.3K
TPAMI · 101 publications · 27K citations
61
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49 publications · 2.9K citations
30
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51 publications · 3K citations
29
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Repository · 65 publications · 3.4K citations
27
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27 publications · 9.4K citations
21
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