Computational design of skintight clothing
Computational design of skintight clothing
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DOI：
10.1145/3386569.3392477
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发表时间：
2020-07
期刊：
影响因子：
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通讯作者：
Juan Montes;B. Thomaszewski;S. Mudur;T. Popa
中科院分区：
文献类型：
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作者：
Juan Montes;B. Thomaszewski;S. Mudur;T. Popa
我们提出了一种优化驱动的方法，用于自动化的，基于物理的紧身服装图案设计。设计这样的服装提出了特别的挑战，因为大的非线性变形，衣服和身体之间的紧密接触，以及身体变形必须考虑在内。为了解决这些挑战，我们开发了一个计算模型的基础上嵌入的二维布网格的表面的三维人体网格。我们的Lagrangian-on-Lagrangian方法消除了耦合布料和身体时的接触处理。在此模型的基础上，我们开发了一种基于灵敏度分析的物理驱动的优化方法，该方法根据设计目标编码身体形状，压力分布，接缝牵引力和其他标准自动计算最佳图案。我们通过为各种体型和具有复杂图案布局的各种服装生成个性化图案来展示我们的方法。
We propose an optimization-driven approach for automated, physics-based pattern design for tight-fitting clothing. Designing such clothing poses particular challenges since large nonlinear deformations, tight contact between cloth and body, and body deformations have to be accounted for. To address these challenges, we develop a computational model based on an embedding of the two-dimensional cloth mesh in the surface of the three-dimensional body mesh. Our Lagrangian-on-Lagrangian approach eliminates contact handling while coupling cloth and body. Building on this model, we develop a physics-driven optimization method based on sensitivity analysis that automatically computes optimal patterns according to design objectives encoding body shape, pressure distribution, seam traction, and other criteria. We demonstrate our approach by generating personalized patterns for various body shapes and a diverse set of garments with complex pattern layouts.