Point Cloud Normal Estimation
Point Cloud Normal Estimation is a computational method in 3D geometric data processing that estimates the local surface orientation at each point in a point cloud by computing unit normal vectors based on the spatial distribution of neighboring points.
177
Publications
12.7K
Citations
536
Authors
215
Institutions
Publications per year
2017–2026
84
Parents
177
Computational Visual Media · 2021 · 1.8K citations · Full text
Consolidation of unorganized point clouds for surface reconstruction
Hui Huang, Dan Li, Hao Zhang et al. · ACM Transactions on Graphics · 2009 · 490 citations
Edge-aware point set resampling
Hui Huang, Shihao Wu, Minglun Gong et al. · ACM Transactions on Graphics · 2013 · 455 citations
Estimating surface normals in noisy point cloud data
Niloy J. Mitra, Thai An Nguyen · 2003 · 410 citations
PCPN<scp>et</scp> Learning Local Shape Properties from Raw Point Clouds
Paul Guerrero, Yanir Kleiman, Maks Ovsjanikov et al. · Computer Graphics Forum · 2018 · 350 citations · Full text
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215
Dalian University of Technology
Dalian, China
10 h-index
25 publications
1.2K citations
Tsinghua University
Beijing, China
9 h-index
27 publications
9.6K citations

Tel Aviv University
Tel Aviv, Israel
7 h-index
10 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
13 publications
891 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
6 h-index
16 publications
911 citations
Simon Fraser University
Burnaby, Canada
6 h-index
9 publications
1.7K citations
Technion – Israel Institute of Technology
Haifa, Israel
5 h-index
11 publications
1.2K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
5 publications
85 citations
1–8 of 215
TOG · 9 publications · 1.7K citations
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9 publications · 882 citations
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8 publications · 644 citations
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TVCG · 6 publications · 470 citations
6
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4 publications · 113 citations
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