Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis-Reference-Cited by-同舟云学术

Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysis

Author:

Fei Ben¹^ORCID,Yang Weidong¹,Chen Wen-Ming²^ORCID,Li Zhijun³^ORCID,Li Yikang⁴,Ma Tao⁴,Hu Xing⁵,Ma Lipeng¹

Affiliation:

1. Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China

2. Academy for Engineering and Technology, Fudan University, Shanghai, China

3. Department of Automation, University of Science and Technology of China, Hefei, China

4. Shanghai AI Laboratory, Shanghai, China

5. School of Optical-Electrical Information and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China

Funder

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference139 articles.

1. Density-aware chamfer distance as a comprehensive metric for point cloud completion;wu;arXiv 2111 12702,2021

4. ShapeNet: An information-rich 3D model repository;chang;arXiv 1512 03012,2015

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献