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Color-aware surface registration

Shuai, Lin, Lai, Yukun, Martin, Ralph Robert, Shiyao, Jin and Zhiquan, Cheng 2016. Color-aware surface registration. Computers and Graphics 58 , pp. 31-42.

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Abstract

Shape registration is fundamental to 3D object acquisition; it is used to fuse scans from multiple views. Existing algorithms mainly utilize geometric information to determine alignment, but this typically results in noticeable misalignment of textures (i.e. surface colors) when using RGB-depth cameras. We address this problem using a novel approach to color-aware registration, which takes both color and geometry into consideration simultaneously. Color information is exploited throughout the pipeline to provide more effective sampling, correspondence and alignment, in particular for surfaces with detailed textures. Our method can furthermore tackle both rigid and non-rigid registration problems (arising, for example, due to small changes in the object during scanning, or camera distortions). We demonstrate that our approach produces significantly better results than previous methods.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Elsevier
ISSN: 0097-8493
Date of First Compliant Deposit: 16 May 2016
Date of Acceptance: 9 May 2016
Last Modified: 04 Jun 2017 09:07
URI: http://orca-mwe.cf.ac.uk/id/eprint/90674

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