Disparity Map Refinement
Disparity Map Refinement is a computational process in stereo vision that enhances the accuracy and spatial coherence of a disparity map by reducing noise, correcting mismatches, and preserving detailed structures through algorithmic optimization techniques.
133
Publications
6.7K
Citations
414
Authors
153
Institutions
Publications per year
2017–2026
60
Parents
133
On building an accurate stereo matching system on graphics hardware
Xing Mei, Xun Sun, Mingcai Zhou et al. · 2011 · 555 citations
Learning for Disparity Estimation Through Feature Constancy
Zhengfa Liang, Yiliu Feng, Yulan Guo et al. · 2018 · 367 citations
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching
Zhelun Shen, Yuchao Dai, Zhibo Rao · 2021 · 329 citations
1–5 of 133
414
5
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 414
153

Peking University
Beijing, China
7 h-index
20 publications
1.1K citations
Tsinghua University
Beijing, China
5 h-index
16 publications
781 citations

Zhejiang University
Hangzhou, China
4 h-index
13 publications
435 citations
The University of Tokyo
Tokyo, Japan
3 h-index
6 publications
274 citations

Northwestern Polytechnical University
Xi'an, China
3 h-index
6 publications
1.1K citations
Wuhan University
Wuhan, China
3 h-index
10 publications
274 citations

National University of Defense Technology
Changsha, China
3 h-index
19 publications
3.9K citations
Shanghai Institute of Microsystem and Information Technology
Shanghai, China
3 h-index
13 publications
538 citations
1–8 of 153
TPAMI · 8 publications · 386 citations
8
h-index
8 publications · 380 citations
8
h-index
Repository · 7 publications · 136 citations
7
h-index
5 publications · 847 citations
5
h-index
5 publications · 91 citations
5
h-index
1–5