A robust assessment method of point cloud quality for enhancing 3D robotic scanning-Reference-Cited by-同舟云学术

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A robust assessment method of point cloud quality for enhancing 3D robotic scanning

Published:2025-04 Issue: Volume:92 Page:102863
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Li Leihui,Zhang Xuping

Publisher

Elsevier BV

Reference57 articles.

1. A novel 3D vision-based robotic welding path extraction method for complex intersection curves;Geng;Robot. Comput.-Integr. Manuf.,2024

2. Planning algorithms for acquiring high fidelity pointclouds using a robot for accurate and fast 3D reconstruction;Malhan;Robot. Comput.-Integr. Manuf.,2022

3. Industrial perspectives of 3D scanning: features, roles and it’s analytical applications;Javaid;Sensors Int.,2021

4. Efficiently registering scan point clouds of 3D printed parts for shape accuracy assessment and modeling;Decker;J. Manuf. Syst.,2020

5. A case study on use of 3D scanning for reverse engineering and quality control;Helle;Mater. Today: Proc.,2021

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