Artist friendly facial animation retargeting
| Autor: | Junyong Noh, Paul Hyunjin Kim, Yeongho Seol, Jaewoo Seo, John P. Lewis |
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| Rok vydání: | 2011 |
| Předmět: |
Scheme (programming language)
Matching (graph theory) Computer science business.industry Animation Computer Graphics and Computer-Aided Design GeneralLiterature_MISCELLANEOUS Set (abstract data type) Face (geometry) Computer graphics (images) Retargeting Computer vision Artificial intelligence business computer Computer facial animation computer.programming_language ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Scopus-Elsevier |
| ISSN: | 1557-7368 0730-0301 |
| Popis: | This paper presents a novel facial animation retargeting system that is carefully designed to support the animator's workflow. Observation and analysis of the animators' often preferred process of key-frame animation with blendshape models informed our research. Our retargeting system generates a similar set of blendshape weights to those that would have been produced by an animator. This is achieved by rearranging the group of blendshapes into several sequential retargeting groups and solving using a matching pursuit-like scheme inspired by a traditional key-framing approach. Meanwhile, animators typically spend a tremendous amount of time simplifying the dense weight graphs created by the retargeting. Our graph simplification technique effectively produces editable weight graphs while preserving the visual characteristics of the original retargeting. Finally, we automatically create GUI controllers to help artists perform key-framing and editing very efficiently. The set of proposed techniques greatly reduce the time and effort required by animators to achieve high quality retargeted facial animations. |
| Databáze: | OpenAIRE |
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