A data-driven approach to realistic shape morphing

Gao, Lin, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680, Huang, Qi-Xing and Hu, Shi-Min 2013. A data-driven approach to realistic shape morphing. Computer graphics forum 32 (2pt4) , pp. 449-457. 10.1111/cgf.12065

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Abstract

Morphing between 3D objects is a fundamental technique in computer graphics. Traditional methods of shape morphing focus on establishing meaningful correspondences and finding smooth interpolation between shapes. Such methods however only take geometric information as input and thus cannot in general avoid producing unnatural interpolation, in particular for large-scale deformations. This paper proposes a novel data-driven approach for shape morphing. Given a database with various models belonging to the same category, we treat them as data samples in the plausible deformation space. These models are then clustered to form local shape spaces of plausible deformations. We use a simple metric to reasonably represent the closeness between pairs of models. Given source and target models, the morphing problem is casted as a global optimization problem of finding a minimal distance path within the local shape spaces connecting these models. Under the guidance of intermediate models in the path, an extended as-rigid-as-possible interpolation is used to produce the final morphing. By exploiting the knowledge of plausible models, our approach produces realistic morphing for challenging cases as demonstrated by various examples in the paper.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Additional Information:	Pdf uploaded in accordance with publisher's policy at http://www.sherpa.ac.uk/romeo/issn/0167-7055/ (accessed 30/10/14).
Publisher:	Wiley
ISSN:	0167-7055
Date of First Compliant Deposit:	30 March 2016
Last Modified:	26 Nov 2024 00:30
URI:	https://orca.cardiff.ac.uk/id/eprint/66234

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