Computational Design of Skintight Clothing
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Date
2020-07
Publication Type
Journal Article
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yes
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Abstract
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.
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published
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Journal / series
Volume
39 (4)
Pages / Article No.
105
Publisher
Association for Computing Machinery
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Software
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Subject
computational design; pattern optimization; physically-based modelling; seam design