Data-Driven Estimation of Cloth Simulation Models

Project Members

Eder Miguel (URJC Madrid)
Derek Bradley (Disney Research Zurich)
Bernhard Thomaszewski (Disney Research Zurich)
Bernd Bickel (Disney Research Zurich)
Wojciech Matusik (Disney Research, Zurich)
Miguel Otaduy (URJC Madrid)
Steve Marschner (Cornell University)

 

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Progress in cloth simulation for computer animation and apparel design has led to a multitude of deformation models, each with its own way of relating geometry, deformation, and forces. As simulators improve, differences between these models become more important, but it is difficult to choose a model and a set of parameters to match a given real material simply by looking at simulation results. This paper provides measurement and fitting methods that allow nonlinear models to be fit to the observed deformation of a particular cloth sample. Unlike standard textile testing, our system measures complex 3D deformations of a sheet of cloth, not just one-dimensional force–displacement curves, so it works under a wider range of deformation conditions. The fitted models are then evaluated by comparison to measured deformations with motions very different from those used for fitting.



 

 

Publications

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Data-Driven Estimation of Cloth Simulation Models
May 13, 2012
Eurographics 2012
Paper File [pdf, 10.33 MB]

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