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Global as-conformal-as-possible non-rigid registration of multi-view scans

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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