Multi-Resolution Cloth Simulation

We propose a novel, multi‐resolution method to efficiently perform large‐scale cloth simulation. Our cloth simulation method is based on a triangle‐based energy model constructed from a cloth mesh. We identify that solutions of the linear system of cloth simulation are smooth in certain regions of t...

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Bibliographic Details
Published in:Computer graphics forum Vol. 29; no. 7; pp. 2225 - 2232
Main Authors: Lee, Yongjoon, Yoon, Sung-eui, Oh, Seungwoo, Kim, Duksu, Choi, Sunghee
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.09.2010
Subjects:
Cloth
Computation
Computer graphics
Computer simulation
Finite element method
Geometry
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Physically based modeling
Linear systems
Mathematical models
Shear
Simulation
Solution space
Studies
Textiles
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:We propose a novel, multi‐resolution method to efficiently perform large‐scale cloth simulation. Our cloth simulation method is based on a triangle‐based energy model constructed from a cloth mesh. We identify that solutions of the linear system of cloth simulation are smooth in certain regions of the cloth mesh and solve the linear system on those regions in a reduced solution space. Then we reconstruct the original solutions by performing a simple interpolation from solutions computed in the reduced space. In order to identify regions where solutions are smooth, we propose simplification metrics that consider stretching, shear, and bending forces, as well as geometric collisions. Our multi‐resolution method can be applied to many existing cloth simulation methods, since our method works on a general linear system. In order to demonstrate benefits of our method, we apply our method into four large‐scale cloth benchmarks that consist of tens or hundreds of thousands of triangles. Because of the reduced computations, we achieve a performance improvement by a factor of up to one order of magnitude, with a little loss of simulation quality.
Bibliography:istex:B7127CD467773EFFF6F8BEF5201B5E5D1D424959
ark:/67375/WNG-L0VN2PF4-R
ArticleID:CGF1811
SourceType-Scholarly Journals-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2010.01811.x