SHREC-19: Shape correspondence with isometric and non-isometric deformations

Dyke, Roberto, Stride, Caleb, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 and Rosin, Paul ORCID: https://orcid.org/0000-0002-4965-3884 2020. SHREC-19: Shape correspondence with isometric and non-isometric deformations. Presented at: Eurographics Workshop on 3D Object Retrieval, Genoa, Italy, 5-6 May 2019. Published in: Biasotti, S., Lavoué, G., Falcidieno, B. and Pratikakis, I. eds. 12th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2019, Genoa, Italy, May 5-6, 2019. Eurographics Association, pp. 111-119. 10.2312/3dor.20191069

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Abstract

The registration of surfaces with non-rigid deformation, especially non-isometric deformations, is a challenging problem. When applying such techniques to real scans, the problem is compounded by topological and geometric inconsistencies between shapes. In this paper, we capture a benchmark dataset of scanned 3D shapes undergoing various controlled deformations (articulating, bending, stretching and topologically changing), along with ground truth correspondences. With the aid of this tiered benchmark of increasingly challenging real scans, we explore this problem and investigate how robust current state-of- the-art methods perform in different challenging registration and correspondence scenarios. We discover that changes in topology is a challenging problem for some methods and that machine learning-based approaches prove to be more capable of handling non-isometric deformations on shapes that are moderately similar to the training set.

Item Type:	Conference or Workshop Item - published (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	Eurographics Association
ISBN:	978-3-03868-077-2
Funders:	EPSRC
Projects:	EP/N509449/1
Related URLs:	Organisation
Date of First Compliant Deposit:	5 April 2019
Last Modified:	30 Apr 2026 11:01
URI:	https://orca.cardiff.ac.uk/id/eprint/121530

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