Wu, Zhenchao, Li, Kun, Lai, Yukun  ORCID: https://orcid.org/0000-0002-2094-5680 and Yang, Jingyu
2019.
Global as-conformal-as-possible non-rigid registration of multi-view scans.
Presented at: IEEE International Conference on Multimedia and Expo,
Shanghai, China,
8-12 July 2019.
2019 IEEE International Conference on Multimedia and Expo (ICME).
IEEE,
pp. 308-313.
10.1109/icme.2019.00061
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Abstract
In this paper, we present a novel framework for global non-rigid registration of multi-view scans captured using consumer-level depth cameras. In our method, all scans from different viewpoints are allowed to undergo large non-rigid deformations and finally fused into a complete high quality model. To avoid the well-known loop closure problem, we simultaneously optimize a global alignment problem instead of pairwise non-rigid registration in succession. We employ a joint point-to-point and point-to-plane positional constraint to reduce the influence of wrong correspondences, and incorporate an as-conformal-as-possible constraint to avoid mesh distortions during deformation. We also design a reweighting scheme on position and transformation to reduce registration errors. Experimental results on both public datasets and real scanned datasets demonstrate that our approach outperforms state-of-the-art methods through extensive quantitative and qualitative evaluations.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Published Online |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Publisher: | IEEE |
| ISBN: | 978-1-5386-9553-1 |
| Related URLs: | |
| Date of First Compliant Deposit: | 5 April 2019 |
| Last Modified: | 08 Aug 2025 14:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/121529 |
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