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
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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: | 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 |
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