A Data-Driven Approach to Realistic Shape Morphing
Article first published online: 6 MAY 2013
© 2013 The Author(s) Computer Graphics Forum © 2013 The Eurographics Association and Blackwell Publishing Ltd.
Computer Graphics Forum
Volume 32, Issue 2pt4, pages 449–457, May 2013
How to Cite
Gao, L., Lai, Y.-K., Huang, Q.-X. and Hu, S.-M. (2013), A Data-Driven Approach to Realistic Shape Morphing. Computer Graphics Forum, 32: 449–457. doi: 10.1111/cgf.12065
- Issue published online: 6 MAY 2013
- Article first published online: 6 MAY 2013
- I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling—object representations
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.