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Data-driven shape interpolation and morphing editing

Gao, Lin, Chen, Shu-Yu, Lai, Yukun and Xia, Shihong 2017. Data-driven shape interpolation and morphing editing. Computer Graphics Forum 36 (8) , pp. 19-31. 10.1111/cgf.12991

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Abstract

Shape interpolation has many applications in computer graphics such as morphing for computer animation. In this paper, we propose a novel data-driven mesh interpolation method. We adapt patch-based linear rotational invariant coordinates to effectively represent deformations of models in a shape collection, and utilize this information to guide the synthesis of interpolated shapes. Unlike previous data-driven approaches, we use a rotation/translation invariant representation which defines the plausible deformations in a global continuous space. By effectively exploiting the knowledge in the shape space, our method produces realistic interpolation results at interactive rates, outperforming state-of-the-art methods for challenging cases. We further propose a novel approach to interactive editing of shape morphing according to the shape distribution. The user can explore the morphing path and select example models intuitively and adjust the path with simple interactions to edit the morphing sequences. This provides a useful tool to allow users to generate desired morphing with little effort. We demonstrate the effectiveness of our approach using various examples.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: data-driven; shape interpolation; shape space; morphing editing; I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling—object representations
Publisher: Wiley-Blackwell
ISSN: 0167-7055
Funders: Royal Society-Newton
Date of First Compliant Deposit: 27 July 2016
Date of Acceptance: 16 July 2016
Last Modified: 07 Jan 2018 07:53
URI: http://orca-mwe.cf.ac.uk/id/eprint/93364

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