Phase space data-driven simulation of elastic materials
Abstract
The use of data driven models in computer animation offers several benefits. We present an analysis of a regression model as a method to simulate cloth. In our approach, we generate data from a simple mass-spring system and we fit a regressor. Then, we assemble more complex mass-spring systems and use the learnt model to simulate them. To validate the approach we perform several tests. We analyze the elastic properties of a single learnt spring, measuring its stiffness coefficient, and compare it to the original, physics-based, model. We also build several test scenarios which include the simulation of a piece of cloth under gravity, comparing the regression model and the physics-based model. Finally we test the behaviour of the regression model for systems with high stiffness coefficient and compare its stability properties with a semi-implicit Euler integration method.
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Index Terms
- Phase space data-driven simulation of elastic materials
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Information
Published In
September 2016
118 pages
ISBN:9783038680239
- Conference Chair:
- Juan M. Corchado Rodríguez,
- Program Chairs:
- Alejandro García-Alonso,
- Belen Masia
Sponsors
- EUROGRAPHICS: The European Association for Computer Graphics
Publisher
Eurographics Association
Goslar, Germany
Publication History
Published: 13 September 2016
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