Nonlinear Cloth Simulation

作者: Cyril Ngo , Samuel Boivin

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摘要: This research report describes a cloth simulation system including nonlinear behaviors. Our model simulates the fabric as complex yarn interlacing structure. approach allows us to deal with scale problem by interactions happening inside this has three different components: traction, bending and shearing. We also add new friction terms in order reproduce structure properties of real cloth. Moreover, representation avoids detailed 3D geometric yarns which is almost always unusable computer graphics. Furthermore, our physical based on Kawabata Evaluation System (KES). It reproduces behavior using parameters coming from direct measurements clothes. Therefore we propose an identification procedure compute all KES curves. Since many textile manufacturers use design their fabrics, are able accurately simulate fabrics graphics manufacturer's parameters. The complete garment made these could be achieved virtual fashion show visualize its characteristics and/or flaws for example.

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