Sparse Stereo Matching
Sparse Stereo Matching is a stereo correspondence method that identifies matching points between stereo images at a limited set of spatially distributed locations, distinguishing itself from dense approaches by focusing on computationally efficient, feature-based disparity estimation rather than pixel-level completeness.
36
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4.5K
Citations
116
Authors
56
Institutions
Publications per year
2017–2026
15
Parents
36
Learning to Find Good Correspondences
Kwang Moo Yi, Eduard Trulls, Y. Ono et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2018 · 546 citations · Full text
A Decomposition Model for Stereo Matching
Chengtang Yao, Yunde Jia, Huijun Di et al. · 2021 · 57 citations
Learning to Find Good Correspondences
Kwang Moo Yi, Eduard Trulls, Y. Ono et al. · 2018 · 50 citations · Full text
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Sony (Taiwan)
Taipei, Taiwan
2 h-index
2 publications
596 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
9 publications
139 citations

University of Tübingen
Tübingen, Germany
2 h-index
4 publications
96 citations
Graz University of Technology
Graz, Austria
2 h-index
2 publications
596 citations
Austrian Institute of Technology
Vienna, Austria
2 h-index
6 publications
114 citations

University of Victoria
Victoria, Canada
2 h-index
2 publications
596 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
6 publications
1.8K citations
Office National d'Études et de Recherches Aérospatiales
Palaiseau, France
1 h-index
4 publications
156 citations
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TPAMI · 3 publications · 3.1K citations
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2 publications · 67 citations
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2 publications · 39 citations
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1 publications · 31 citations
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1 publications · 28 citations
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