Pickup, David, Liu, Juncheng, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884, Martin, Ralph R., Cheng, Zhiquan, Lian, Zhouhui, Nie, Sipin, Jin, Longcun, Shamai, Gil, Sahillioğlu, Yusuf and Kavan, Ladislav 2018. An evaluation of canonical forms for non-rigid 3D shape retrieval. Graphical Models 97 , pp. 17-29. 10.1016/j.gmod.2018.02.002 |
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Abstract
Canonical forms attempt to factor out a non-rigid shape’s pose, giving a pose-neutral shape. This opens up the possibility of using methods originally designed for rigid shape retrieval for the task of non-rigid shape retrieval. We extend our recent benchmark for testing canonical form algorithms. Our new benchmark is used to evaluate a greater number of state-of-the-art canonical forms, on five recent non-rigid retrieval datasets, within two different retrieval frameworks. A total of fifteen different canonical form methods are compared. We find that the difference in retrieval accuracy between different canonical form methods is small, but varies significantly across different datasets. We also find that efficiency is the main difference between the methods.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Computer Science & Informatics |
Additional Information: | Open access Attribution 4.0 International (CC BY 4.0) |
Publisher: | Elsevier |
ISSN: | 1524-0703 |
Funders: | EPSRC |
Date of First Compliant Deposit: | 8 March 2018 |
Date of Acceptance: | 15 February 2018 |
Last Modified: | 06 May 2023 05:19 |
URI: | https://orca.cardiff.ac.uk/id/eprint/109971 |
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An evaluation of canonical forms for non-rigid 3D shape retrieval. (deposited 08 Mar 2018 09:39)
- An evaluation of canonical forms for non-rigid 3D shape retrieval. (deposited 19 Mar 2018 14:08) [Currently Displayed]
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