Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds-Reference-Cited by-同舟云学术

Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds

Published:2023-01-01 Issue:1 Volume:45 Page:946-963
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Zhou Haoran¹^ORCID,Chen Honghua²^ORCID,Zhang Yingkui³^ORCID,Wei Mingqiang²^ORCID,Xie Haoran⁴^ORCID,Wang Jun²,Lu Tong¹^ORCID,Qin Jing³^ORCID,Zhang Xiao-Ping⁵^ORCID

Affiliation:

1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, Jiangsu, China

2. School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China

3. School of Nursing, Hong Kong Polytechnic University, Hong Kong, China

4. Department of Computing and Decision Sciences, Lingnan University, Hong Kong, China

5. Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON, Canada

Funder

National Natural Science Foundation of China

Free Exploration of Basic Research Project

Central Government of China

Key Program of Jiangsu Provincial Department of Culture and Tourism

Research Grants Council of the Hong Kong Special Administrative Region

Innovation and Technology Fund - Midstream Research Programme for Universities of Innovation and Technology Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/9970415/09693131.pdf?arnumber=9693131

Reference58 articles.

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4. Voronoi-based variational reconstruction of unoriented point sets;alliez;Proc 5th Eurographics Symp Geometry Process,2007

5. Provable surface reconstruction from noisy samples

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