Point Cloud Surface Reconstruction
Point Cloud Surface Reconstruction is a computational method that, given a discrete set of three-dimensional points sampled from a physical surface, uniquely constructs a continuous geometric representation by determining the topological and geometric structure that best approximates the original manifold from which the points were drawn.
309
Publications
24.4K
Citations
926
Authors
360
Institutions
Publications per year
2017–2026
113
309
3D is here: Point Cloud Library (PCL)
Radu Bogdan Rusu, Steve Cousins · 2011 · 4.8K citations
Reconstruction and representation of 3D objects with radial basis functions
J. C. Carr, R. K. Beatson, J. B. Cherrie et al. · 2001 · 1.8K citations
A new Voronoi-based surface reconstruction algorithm
Nina Amenta, Marshall Bern, Manolis Kamvysselis · 1998 · 896 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
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Tsinghua University
Beijing, China
9 h-index
25 publications
982 citations

Tel Aviv University
Tel Aviv, Israel
9 h-index
16 publications
1.9K citations
Stony Brook University
Stony Brook, United States
8 h-index
14 publications
677 citations
Simon Fraser University
Burnaby, Canada
8 h-index
14 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
15 publications
332 citations
ETH Zurich
Zurich, Switzerland
6 h-index
14 publications
984 citations

Huazhong University of Science and Technology
Wuhan, China
6 h-index
20 publications
649 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
6 h-index
16 publications
555 citations
1–8 of 360
16 publications · 1.9K citations
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13 publications · 345 citations
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TOG · 11 publications · 1.3K citations
11
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11 publications · 571 citations
11
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8 publications · 395 citations
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