Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration-Reference-Cited by-同舟云学术

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Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration

Published:2016-11-01 Issue:11 Volume:38 Page:2241-2254
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Yang Jiaolong^ORCID,Li Hongdong,Campbell Dylan,Jia Yunde

Funder

Natural Science Foundation of China (NSFC)

ARC

ARC Centre of Excellence for Robotic Vision

Chinese Scholarship Council (CSC)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/7580591/07368945.pdf?arnumber=7368945

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1. Multi-View Registration of Partially Overlapping Point Clouds for Robotic Manipulation;IEEE Robotics and Automation Letters;2024-10

2. Efficient and Robust Point Cloud Registration via Heuristics-Guided Parameter Search;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

3. Weighted Multiple Point Cloud Fusion;PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science;2024-09-12

4. Automatic Robot Hand-Eye Calibration Enabled by Learning-Based 3D Vision;Journal of Intelligent & Robotic Systems;2024-09-05

5. ICP registration with SHOT descriptor for arresters point clouds;Measurement Science and Technology;2024-09-05

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