Stereo Correspondence
Stereo Correspondence is a computational problem in computer vision that involves identifying corresponding points in two or more images taken from different viewpoints, distinguishing itself by establishing geometric relationships between disparity and depth in binocular stereo imaging.
1.7K
Publications
117.8K
Citations
4K
Authors
1K
Institutions
Publications per year
2017–2026
370
Parents
1.7K
Robust wide-baseline stereo from maximally stable extremal regions
Jiřı́ Matas, Ondřej Chum, M. Urban et al. · Image and Vision Computing · 2004 · 3.7K citations
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Technical University of Malaysia Malacca, Malaysia
12 publications · 654 citations
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Carnegie Mellon University
Pittsburgh, United States
23 h-index
58 publications
7.3K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
22 h-index
64 publications
3.4K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
18 h-index
56 publications
4.5K citations

Beihang University
Beijing, China
18 h-index
77 publications
3.6K citations

Chinese Academy of Sciences
Beijing, China
17 h-index
62 publications
3.5K citations
Wuhan University
Wuhan, China
17 h-index
91 publications
2.3K citations
Tsinghua University
Beijing, China
16 h-index
54 publications
2.9K citations
ETH Zurich
Zurich, Switzerland
16 h-index
38 publications
3.2K citations
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TPAMI · 74 publications · 15.5K citations
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35 publications · 5.3K citations
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27 publications · 9.6K citations
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30 publications · 934 citations
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28 publications · 889 citations
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