A Point Cloud Matching Algorithm Based on Multiscale Point Pair Features-Reference-Cited by-同舟云学术

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A Point Cloud Matching Algorithm Based on Multiscale Point Pair Features

Published:2023-07-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Real-time Computing and Robotics (RCAR)
language:
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Author:

Liu Qianwei¹,Ding Ke¹,Zhang Chaoxia²,Lin Jinghui³,Hu CaiRong³,Lu JunJun⁴,Yuan Zhuo⁵

Affiliation:

1. Guangdong University of Technology

2. Foshan University of Science and Technology,School of Mechanical and Electrical Engineering and Automation

3. Guangzhou University,School of Mechanical and Electrical Engineering

4. South China Agricultural University,College of Engineering

5. University of Sydney

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249208/10249018/10249989.pdf?arnumber=10249989

Reference21 articles.

1. Improved algorithm for point cloud registration based on fast point feature histograms

2. Gradient Response Maps for Real-Time Detection of Textureless Objects

3. Model globally, match locally: Efficient and robust 3D object recognition

4. A Point Cloud Registration Algorithm Based on Feature Extraction and Matching[J];yongshan;Mathematical Problems in Engineering,2018

5. Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation

Cited by 1 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

1. A Fast Feature Extraction-Based Method for Globally Accurate Registration of Multi-View Point Clouds;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

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