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Global alignment of deformable objects captured by a single RGB-D camera

Guo, Daoliang, Li, Kun, Lai, Yukun and Yang, Jingyu 2017. Global alignment of deformable objects captured by a single RGB-D camera. Presented at: IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China, 10-14 July 2017. 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE, pp. 1554-1559. 10.1109/ICME.2017.8019318

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Abstract

We present a novel global registration method for deformable objects captured using a single RGB-D camera. Our algorithm allows objects to undergo large non-rigid deformations, and achieves high quality results without constraining the actor's pose or camera motion. We compute the deformations of all the scans simultaneously by optimizing a global alignment problem to avoid the well-known loop closure problem, and use an as-rigid-as-possible constraint to eliminate the shrinkage problem of the deformed model. To attack large scale problems, we design a coarse-to-fine multi-resolution scheme, which also avoids the optimization being trapped into local minima. The proposed method is evaluated on public datasets and real datasets captured by an RGB-D sensor. Experimental results demonstrate that the proposed method obtains better results than the state-of-the-art methods.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: IEEE
ISBN: 978-1-5090-6068-9
ISSN: 1945-788X
Date of First Compliant Deposit: 16 April 2017
Date of Acceptance: 27 February 2017
Last Modified: 02 Feb 2018 02:35
URI: http://orca-mwe.cf.ac.uk/id/eprint/99893

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