End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences-Reference-Cited by-同舟云学术

End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences

Published:2020-10-24 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Wei Huanshu¹,Qiao Zhijian²,Liu Zhe³,Suo Chuanzhe¹,Yin Peng⁴,Shen Yueling²,Li Haoang¹,Wang Hesheng⁵

Affiliation:

1. T Stone Robotics Institute,The Chinese University of Hong Kong,Department of Mechanical and Automation Engineering,Hong Kong

2. Shanghai Jiao Tong University,Department of Automation,China

3. University of Cambridge,Department of Computer Science and Technology,United Kingdom

4. Carnegie Mellon University

5. Insititue of Medical Robotics, Key Laboratory of System Control and Information Processing of Ministry of Education, Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education, Shanghai Jiao Tong University,Department of Automation,Shanghai,China,200240

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09341249.pdf?arnumber=9341249

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