Point Cloud-based Surface Modeling
Point Cloud-Based Surface Modeling is a computational method in geospatial analysis that generates digital surface models by interpolating or reconstructing three-dimensional terrain surfaces directly from unstructured point cloud data acquired via remote sensing technologies.
204
Publications
9.8K
Citations
679
Authors
276
Institutions
Publications per year
2017–2026
73
Parents
204
Estimating surface normals in noisy point cloud data
Niloy J. Mitra, Thai An Nguyen · 2003 · 410 citations
Nina Amenta, Yong J. Kil · ACM Transactions on Graphics · 2004 · 308 citations · Full text
1–5 of 204
679
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 679
276

TU Wien
Vienna, Austria
6 h-index
8 publications
292 citations
Stanford University
Stanford, United States
4 h-index
7 publications
1.3K citations
China University of Mining and Technology
Xuzhou, China
4 h-index
12 publications
341 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
9 publications
347 citations

University of Twente
Enschede, The Netherlands
3 h-index
4 publications
257 citations

National University of Defense Technology
Changsha, China
3 h-index
15 publications
461 citations

University of the Aegean
Mytilene, Greece
3 h-index
5 publications
161 citations
KU Leuven
Leuven, Belgium
3 h-index
9 publications
276 citations
1–8 of 276
8 publications · 1.2K citations
8
h-index
7 publications · 471 citations
7
h-index
6 publications · 315 citations
6
h-index
5 publications · 180 citations
5
h-index
5 publications · 109 citations
5
h-index
1–5