Advancements in point cloud-based 3D defect classification and segmentation for industrial systems: A comprehensive survey
-
Published:2024-12
Issue:
Volume:112
Page:102575
-
ISSN:1566-2535
-
Container-title:Information Fusion
-
language:en
-
Short-container-title:Information Fusion
Author:
Rani AnjuORCID,
Ortiz-Arroyo Daniel,
Durdevic Petar
Reference213 articles.
1. 3D point cloud analysis for detection and characterization of defects on airplane exterior surface;Jovančević;J. Nondestruct. Eval.,2017
2. Deep learning for 3d point clouds: A survey;Guo;IEEE Trans. Pattern Anal. Mach. Intell.,2020
3. Deep learning-based 3D point cloud classification: A systematic survey and outlook;Zhang;Displays,2023
4. Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018;Wang;Adv. Eng. Inform.,2019
5. Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao, Gvcnn: Group-view convolutional neural networks for 3d shape recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 264–272.