Ship hull surface reconstruction from scattered points cloud using an RBF neural network mapping technology-Reference-Cited by-同舟云学术

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Ship hull surface reconstruction from scattered points cloud using an RBF neural network mapping technology

Published:2023-06 Issue: Volume:281 Page:107012
ISSN:0045-7949
Container-title:Computers & Structures
language:en
Short-container-title:Computers & Structures

Author:

Duan Wenyang,Zhang Peixin,Huang Limin,Yang Ke,Yang Kuo

Funder

Ministry of Industry and Information Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,General Materials Science,Modeling and Simulation,Civil and Structural Engineering

Reference34 articles.

1. Amenta N, Bern M, Kamvysselis M. A new Voronoi-based surface reconstruction algorithm. In: Proceedings of the 25th International Conference on Computer Graphics and Interactive Techniques, 1998: 415-421.

2. Dey TK, Goswami S. Tight Cocone: a water-tight surface reconstructor. In: Proceedings of the 8th ACM symposium on Solid modeling and applications, 2003: 127-134.

3. A fast and simple surface reconstruction algorithm;Cheng;ACM Trans Algorithms,2017

4. Luo YM, Mi ZX, Tao WB. DeepDT: Learning geometry from Delaunay Triangulation for surface reconstruction. In: Proceedings of the AAAI Conference on Artificial Intelligence, 2021: 2277-2285.

5. Geometric structures for three-dimensional shape representation;Boissonnat;ACM Trans Graph,1984

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