An Effective Point Cloud Registration Method Based on Robust Removal of Outliers-Reference-Cited by-同舟云学术

An Effective Point Cloud Registration Method Based on Robust Removal of Outliers

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Raobo¹,Yuan Xiping²,Gan Shu¹^ORCID,Bi Rui¹^ORCID,Gao Sha¹,Luo Weidong¹,Chen Cheng¹^ORCID

Affiliation:

1. School of Faculty of Land Resources and Engineering, Kunming University of Science and Technology, Kunming, China

2. Key Laboratory of Mountain Real Scene Point Cloud Data Processing and Application for Universities, West Yunnan University of Applied Sciences, Dali, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10387521.pdf?arnumber=10387521

Reference52 articles.

1. Fast planar surface 3D SLAM using LIDAR

2. The Pose Estimation of Mobile Robot Based on Improved Point Cloud Registration

3. A method for registration of 3-D shapes

4. Rethinking of learning-based 3D keypoints detection for large-scale point clouds registration

5. Harris 3D: a robust extension of the Harris operator for interest point detection on 3D meshes

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