SHREC'20: Shape correspondence with non-isometric deformations

Dyke, Roberto M., Lai, Yu-Kun ORCID: https://orcid.org/0000-0002-2094-5680, Rosin, Paul ORCID: https://orcid.org/0000-0002-4965-3884, Zappala, Stefano, Dykes, Seana, Guo, Daoliang, Li, Kun, Marin, Riccardo, Melzi, Simone and Yang, Jingyu 2020. SHREC'20: Shape correspondence with non-isometric deformations. Computers and Graphics 92 , pp. 28-43. 10.1016/j.cag.2020.08.008

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (2MB) | Preview

Abstract

Estimating correspondence between two shapes continues to be a challenging problem in geometry processing. Most current methods assume deformation to be near-isometric, however this is often not the case. For this paper, a collection of shapes of different animals has been curated, where parts of the animals (e.g., mouths, tails & ears) correspond yet are naturally non-isometric. Ground-truth correspondences were established by asking three specialists to independently label corresponding points on each of the models with respect to a previously labelled reference model. We employ an algorithmic strategy to select a single point for each correspondence that is representative of the proposed labels. A novel technique that characterises the sparsity and distribution of correspondences is employed to measure the performance of ten shape correspondence methods.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Elsevier
ISSN:	0097-8493
Funders:	EPSRC
Date of First Compliant Deposit:	1 September 2020
Date of Acceptance:	28 July 2020
Last Modified:	20 Nov 2024 07:00
URI:	https://orca.cardiff.ac.uk/id/eprint/134584

Citation Data

Cited 9 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item