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Mixing Yarns and Triangles in Cloth Simulation

dc.contributor.authorCasafranca, Juan J.
dc.contributor.authorCirio, Gabriel
dc.contributor.authorRodríguez, Alejandro
dc.contributor.authorMiguel, Eder
dc.contributor.authorOtaduy, Miguel A.
dc.description"This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions."es
dc.description.abstractThis paper presents a method to combine triangle and yarn models in cloth simulation, and hence leverage their best features. The majority of a garment uses a triangle-based model, which reduces the overall computational and memory cost. Key areas of the garment use a yarn-based model, which elicits rich effects such as structural nonlinearity and plasticity. To combine both models in a seamless and robust manner, we solve two major technical challenges. We propose an enriched kinematic representation that augments triangle-based deformations with yarn-level details. Naïve enrichment suffers from kinematic redundancy, but we devise an optimal kinematic filter that allows a smooth transition between triangle and yarn models. We also introduce a preconditioner that resolves the poor conditioning produced by the extremely different inertia of triangle and yarn nodes. This preconditioner deals effectively with rank deficiency introduced by the kinematic filter. We demonstrate that mixed yarns and triangles succeed to efficiently capture rich effects in garment fit and
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.subjectComputing methodologieses
dc.subjectPhysical simulationes
dc.titleMixing Yarns and Triangles in Cloth Simulationes
dc.relation.projectIDTouchDesign (772738)es
dc.subject.unesco3302.90 Ingeniería Bioquímicaes

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Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional