Phase Space Data-Driven Simulation of Elastic Materials
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description
@inproceedings{10.2312:ceig.20161316,
booktitle = {Spanish Computer Graphics Conference (CEIG)},
editor = {Alejandro Garcia-Alonso and Belen Masia},
title = {{Phase Space Data-Driven Simulation of Elastic Materials}},
author = {Monteagudo, Carlos and Lozano, Miguel and García-Fernández, Ignacio and Martinez-Gil, Francisco},
year = {2016},
publisher = {The Eurographics Association},
ISSN = {-},
ISBN = {978-3-03868-023-9},
DOI = {10.2312/ceig.20161316}
}