de La Gorce, M., Williams, T., Rogers, M. et al. (1 more author) (2012) Real-time Video-based Character Animation. In: Pucher, M., Cosker, D., Hofer, G., Berger, M. and Smith, W., (eds.) Proceedings of the 3rd Symposium on Facial Analysis and Animation. FAA: The 3rd International Symposium on Facial Analysis and Animation, 21 September 2012, Vienna, Austria. ACM International Conference Proceeding Series . Association for Computing Machinery (ACM) ISBN 978-1-4503-1793-1
Abstract
The ability to animate a 3D virtual character in real-time has great potential in terms of connecting and interacting with an audience or individual user, for example allowing a virtual character to answer questions from audience members or make spontaneous comments about a show, or by allowing a gamer to represent themselves more effectively in the game world. Existing professional animation production methods such as digital puppetry, based on complex manual controllers, and optical performance capture, based on reflective markers require specialist equipment, on-set expertise, time consuming setup and are therefore not appropriate for a mass market consumer context, and their relative expense limits their use in real-time professional media production. Recently systems have been demonstrated that reduce these requirements somewhat [Weise et al. 2011], but still require emerging specialist consumer grade 3D capture devices. We have developed a new method of real-time character animation that requires no expertise and uses widely available consumergrade camera equipment as input and that can be deployed on standard hardware such as laptops and mobile devices.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2012 ACM |
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: | 09 Nov 2015 15:05 |
Last Modified: | 12 Nov 2015 06:02 |
Published Version: | http://dl.acm.org/citation.cfm?id=2491614 |
Status: | Published |
Publisher: | Association for Computing Machinery (ACM) |
Series Name: | ACM International Conference Proceeding Series |
Identification Number: | 10.1145/2491599.2491614 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:87904 |