Warburton, M. and Maddock, S.C. orcid.org/0000-0003-3179-0263 (2015) Physically-based forehead animation including wrinkles. Computer Animation and Virtual Worlds, 26 (1). pp. 55-68. ISSN 1546-4261
Abstract
Physically-based animation techniques enable more realistic and accurate animation to be created. We present a fully physically-based approach for efficiently producing realistic-looking animations of facial movement, including animation of expressive wrinkles. This involves simulation of detailed voxel-based models using a graphics processing unit-based total Lagrangian explicit dynamic finite element solver with an anatomical muscle contraction model, and advanced boundary conditions that can model the sliding of soft tissue over the skull. The flexibility of our approach enables detailed animations of gross and fine-scale soft-tissue movement to be easily produced with different muscle structures and material parameters, for example, to animate different aged skins. Although we focus on the forehead, our approach can be used to animate any multi-layered soft body.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2014 The Authors. Computer Animation and Virtual Worlds published by John Wiley & Sons, Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | physically-based animation;facial animation;soft-tissue animation;wrinkle animation;finite element method |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Apr 2017 10:24 |
Last Modified: | 13 Apr 2017 10:24 |
Published Version: | https://doi.org/10.1002/cav.1565 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/cav.1565 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114904 |
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