A Novel Local Feature Descriptor and an Accurate Transformation Estimation Method for 3-D Point Cloud Registration-Reference-Cited by-同舟云学术

A Novel Local Feature Descriptor and an Accurate Transformation Estimation Method for 3-D Point Cloud Registration

Author:

Zhao Bao¹^ORCID,Yue Jiahui¹^ORCID,Tang Zhen¹^ORCID,Chen Xiaobo²^ORCID,Fang Xianyong³^ORCID,Le Xinyi⁴^ORCID

Affiliation:

1. School of Internet, Anhui University, Hefei, China

2. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

3. School of Computer Science and Technology, Anhui University, Hefei, China

4. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Education Department of Anhui Province

Natural Science Foundation of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference46 articles.

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2. DenseReg: Point Cloud Registration Based on Dense Feature Refinement;Proceedings of the 2024 International Conference on Advanced Robotics, Automation Engineering and Machine Learning;2024-06-28