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SHREC'20: Shape correspondence with non-isometric deformations

Dyke, Roberto M., Lai, Yu-Kun, Rosin, Paul, 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: 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: 23 Oct 2020 12:39
URI: http://orca.cf.ac.uk/id/eprint/134584

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