A Fast Feature Extraction-Based Method for Globally Accurate Registration of Multi-View Point Clouds-Reference-Cited by-同舟云学术

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A Fast Feature Extraction-Based Method for Globally Accurate Registration of Multi-View Point Clouds

Published:2024-03-25 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Industrial Technology (ICIT)
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Author:

Li Chuang-Chuang¹,Ou Yang-Min²,Lin Xu-Bin²,Xie Feng-Yuan²,Wang Kai-Yao¹,Liao Zhao-Yang²

Affiliation:

1. Wuyi University,Faculty of Intelligent Manufacturing,Jiangmen,Guangdong,China

2. Institute of Intelligent Manufacturing, Guangdong Academy of Sciences,Guangdong Key Laboratory of Modern Control Technology,Guangzhou,China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

GDAS’ Project of Science and Technology Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10540646/10540608/10541002.pdf?arnumber=10541002

Reference17 articles.

1. Research on 3D LiDAR Point Cloud Matching Localization Method

2. A Registration Method of Multi-View Point Clouds Using Turntable and Monocular Structured Light

3. Research on Point Cloud Registration Method of Expressway Pavement Based on Improved ICP Technology

4. An Improved ICP Point Cloud Registration Algorithm Based on Three-Points Congruent Sets

5. An improved RANSAC registration algorithm based on region covariance descriptor

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