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Mixing Yarns and Triangles in Cloth Simulation
Computer Graphics Forum ( IF 2.7 ) Pub Date : 2020-05-01 , DOI: 10.1111/cgf.13915
Juan J. Casafranca 1 , Gabriel Cirio 2 , Alejandro Rodríguez 2 , Eder Miguel 2 , Miguel A. Otaduy 1
Affiliation  

This 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 drape.

中文翻译:

在布料模拟中混合纱线和三角形

本文提出了一种在布料模拟中结合三角形和纱线模型的方法,从而利用它们的最佳特征。服装的大部分使用基于三角形的模型,这降低了整体计算和内存成本。服装的关键区域使用基于纱线的模型,它引发了丰富的效果,如结构非线性和可塑性。为了以无缝和稳健的方式结合这两种模型,我们解决了两个主要的技术挑战。我们提出了一种丰富的运动学表示,可以通过纱线级细节增强基于三角形的变形。朴素的富集受到运动学冗余的影响,但我们设计了一个最佳运动学过滤器,允许三角形和纱线模型之间的平滑过渡。我们还引入了一个预处理器,它解决了由三角形和纱线节点的极其不同的惯性所产生的不良调节。该预处理器有效地处理由运动过滤器引入的秩不足。我们证明了混合纱线和三角形成功地有效地捕捉了服装合身和悬垂性的丰富效果。
更新日期:2020-05-01
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