Radial Basis Function Reconstruction
Radial Basis Function Reconstruction is a surface reconstruction method that interpolates sparse 3D point cloud data into a continuous implicit surface by means of radial basis functions, distinguished from other reconstruction techniques through its use of distance-based basis functions centered at input sample points.
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1.1K
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123
Authors
60
Institutions
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2017–2026
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École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
5 publications
130 citations

Chongqing University
Chongqing, China
2 h-index
7 publications
128 citations
University of Delaware
Newark, United States
2 h-index
2 publications
97 citations

Harbin Institute of Technology
Harbin, China
2 h-index
4 publications
138 citations
Texas A&M University
College Station, United States
2 h-index
4 publications
53 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
69 citations

Central South University
Changsha, China
2 h-index
4 publications
129 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
4 publications
118 citations
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2 publications · 60 citations
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MPE · 2 publications · 40 citations
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2 publications · 55 citations
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2 publications · 80 citations
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Repository · 2 publications · 54 citations
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