期刊
ACM TRANSACTIONS ON GRAPHICS
卷 29, 期 1, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/1640443.1640452
关键词
Algorithms; Design; Character animation; data-driven animation; 3D animation interfaces; animation with constraints; statistical analysis and synthesis; optimization
资金
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1055046] Funding Source: National Science Foundation
This article presents a new motion model deformable motion models for human motion modeling and synthesis. Our key idea is to apply statistical analysis techniques to a set of precaptured human motion data and construct a low-dimensional deformable motion model of the form x = M((alpha) over right arrow, (gamma) over right arrow.), where the deformable parameters (alpha) over right arrow and (gamma) over right arrow control the motion's geometric and timing variations, respectively. To generate a desired animation, we continuously adjust the deformable parameters' values to match various forms of user-specified constraints. Mathematically, we formulate the constraint-based motion synthesis problem in a Maximum A Posteriori (MAP) framework by estimating the most likely deformable parameters from the user's input. We demonstrate the power and flexibility of our approach by exploring two interactive and easy-to-use interfaces for human motion generation: direct manipulation interfaces and sketching interfaces.
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