Wu, Zhenchao, Li, Kun, Lai, Yukun ![]() ![]() |
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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) |
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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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