Cost Volume Construction
Cost Volume Construction is a computational process in stereo vision that belongs to the class of matching cost computation methods, specifically characterized by the systematic aggregation of pixel-wise similarity measures across disparity hypotheses to form a three-dimensional cost volume encoding potential correspondences between rectified image pairs.
23
Publications
5.7K
Citations
74
Authors
22
Institutions
Publications per year
2017–2026
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PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu et al. · 2018 · 2.7K citations
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
Xiaodong Gu, Zhiwen Fan, Siyu Zhu et al. · 2020 · 840 citations
Group-Wise Correlation Stereo Network
Xiaoyang Guo, Kai Yang, Wukui Yang et al. · 2019 · 731 citations
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Huazhong University of Science and Technology
Wuhan, China
3 h-index
11 publications
1.6K citations

Hunan University
Changsha, China
2 h-index
10 publications
190 citations
Simon Fraser University
Burnaby, Canada
2 h-index
4 publications
1.7K citations
Intel (United States)
Santa Clara, United States
2 h-index
6 publications
762 citations
Nanjing University of Science and Technology
Nanjing, China
2 h-index
5 publications
156 citations
Wuhu Hit Robot Technology Research Institute
Wuhu, China
2 h-index
9 publications
170 citations
Wuhan University
Wuhan, China
2 h-index
5 publications
237 citations
Nanjing Normal University
Nanjing, China
1 h-index
1 publications
17 citations
1–8 of 22
Repository · 4 publications · 247 citations
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Conference · 2 publications · 339 citations
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Conference · 2 publications · 302 citations
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2 publications · 35 citations
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1 publications · 47 citations
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