Wen, Qingmeng  ORCID: https://orcid.org/0000-0002-8972-4042, Tafrishi, Seyed ORCID: https://orcid.org/0000-0001-9829-3144, Ji, Ze ORCID: https://orcid.org/0000-0002-8968-9902 and Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680
2024.
What criteria define an ideal skeletonisation reference in object point clouds?
Presented at: TAROS 2024: 25th Annual Conference,
London, UK,
21-23 August 2024.
Published in: Huda, M. Nazmul, Wang, Mingfeng and Kalganova, Tatiana eds.
Towards Autonomous Robotic Systems. 25th Annual Conference, TAROS 2024, London, UK, August 21–23, 2024, Proceedings, Part I.
Lecture Notes in Computer Science
Springer,
pp. 422-433.
10.1007/978-3-031-72059-8_35
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Abstract
The skeletonisation methods of 3D object models gained noteworthy attention in recent years and have been extensively investigated, inspired by their wide-range applications, including computer graphics and robotics. However, there remains a gap that the quantitative reference of high-quality skeletonisation results is hardly given by the previous studies. Building upon previous research on point cloud skeletonisation, this paper explores the inherent characteristics of the skeletonisation process across objects of varying shapes. This analysis aims to provide intuitive insights into the quality of the resulting desirable skeletons. Additionally, we introduce a new concept of stable convergence of contraction based on distributions of geometric curvature and vectorial normal changes.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering Schools > Computer Science & Informatics |
| Publisher: | Springer |
| ISBN: | 9783031720581 |
| Related URLs: | |
| Date of First Compliant Deposit: | 6 September 2024 |
| Date of Acceptance: | 21 June 2024 |
| Last Modified: | 28 Nov 2025 09:40 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/171903 |
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