Dyke, Roberto, Lai, Yukun  ORCID: https://orcid.org/0000-0002-2094-5680, Rosin, Paul ORCID: https://orcid.org/0000-0002-4965-3884 and L., Tam
2019.
Non-rigid registration under anisotropic deformations.
Computer Aided Geometric Design
71
, pp. 142-156.
10.1016/j.cagd.2019.04.014
|
Preview |
PDF
- Published Version
Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
Non-rigid registration of deformed 3D shapes is a challenging and fundamental task in geometric processing, which aims to non-rigidly deform a source shape into alignment with a target shape. Current state-of-the-art methods assume deformations to be near-isometric. This assumption does not reflect real-world conditions, for example in large-scale deformation, where moderate anisotropic deformations (e.g., stretches) are common. In this paper we propose two significant changes to a typical registration pipeline to address such challenging deformations. First, we introduce a method to estimate anisotropic non-isometric deformations and incorporate this into an iterative non-rigid registration pipeline. Second, we compute additional correspondences in non-isometrically deforming regions using reliable correspondences as landmarks and prune inconsistent correspondences. We compare the performance of our proposed algorithm to several state-of-the-art methods using existing benchmarks. Experimental results show that our method outperforms existing methods.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Publisher: | Elsevier |
| ISSN: | 0167-8396 |
| Funders: | EPSRC |
| Date of First Compliant Deposit: | 27 March 2019 |
| Date of Acceptance: | 21 March 2019 |
| Last Modified: | 06 May 2023 14:31 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/121234 |
Citation Data
Cited 13 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
 |
Edit Item |
Dimensions
Dimensions