Point Cloud Reconstruction
Point Cloud Reconstruction is a computational method in 3D reconstruction that generates a set of spatially distributed points representing the surface geometry of a physical object or scene from raw sensor data, distinguishing itself by directly producing unstructured point-wise representations without intermediate meshing or volumetric modeling.
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2017–2026
894
1.5K
3D is here: Point Cloud Library (PCL)
Radu Bogdan Rusu, Steve Cousins · 2011 · 4.8K citations
FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
Yaoqing Yang, Chen Feng, Yiru Shen et al. · 2018 · 1.4K citations
Towards 3D Point cloud based object maps for household environments
Radu Bogdan Rusu, Zoltán-Csaba Márton, Nico Blodow et al. · Robotics and Autonomous Systems · 2008 · 1.1K citations
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Tsinghua University
Beijing, China
29 h-index
108 publications
13.8K citations
Wuhan University
Wuhan, China
24 h-index
89 publications
5.3K citations

Peking University
Beijing, China
22 h-index
84 publications
2.7K citations
Nanyang Technological University
Singapore, Singapore
20 h-index
50 publications
1.9K citations
ETH Zurich
Zurich, Switzerland
19 h-index
63 publications
4.8K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
73 publications
4.2K citations
Technical University of Munich
Munich, Germany
19 h-index
60 publications
13.8K citations
Carnegie Mellon University
Pittsburgh, United States
18 h-index
42 publications
7.8K citations
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Repository · 60 publications · 2.1K citations
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TOG · 30 publications · 3.7K citations
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31 publications · 2.1K citations
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47 publications · 2.9K citations
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44 publications · 1.5K citations
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