A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures-Reference-Cited by-同舟云学术

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A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures

Published:2017-07 Issue:7 Volume:26 Page:3261-3276
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Huang Xiaoshui^ORCID,Zhang Jian,Fan Lixin,Wu Qiang,Yuan Chun

Funder

Nokia research funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/7922633/07904634.pdf?arnumber=7904634

Cited by 63 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. RCFI-Net: A reliable correspondences evaluation and feature interaction network for fast and accurate point cloud registration;Applied Soft Computing;2024-09

2. Intelligent method framework for 3D surface manufacturing in cloud‐edge collaboration architecture;IET Collaborative Intelligent Manufacturing;2024-07-26

3. Advances in 3D pre-training and downstream tasks: a survey;Vicinagearth;2024-07-23

4. CPCRNet: Cross-source Point Cloud Completion-registration Network for Intelligent Factory Virtual Scene Construction;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18

5. FF-LOGO: Cross-Modality Point Cloud Registration with Feature Filtering and Local to Global Optimization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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