Data-driven elastic models for cloth: modeling and measurement
Data-driven elastic models for cloth: modeling and measurement
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DOI：
10.1145/1964921.1964966
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发表时间：
2011-07
期刊：
影响因子：
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通讯作者：
Huamin Wang;J. F. O'Brien;R. Ramamoorthi
中科院分区：
文献类型：
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作者：
Huamin Wang;J. F. O'Brien;R. Ramamoorthi
由于织物的组织结构和纤维特性，织物往往具有复杂的非线性、各向异性弹性行为。然而，大多数当前的布料模拟技术简单地使用线性和各向同性弹性模型，手动选择刚度参数。这种简单的模拟不允许区分不同的布料材料（如丝绸或牛仔布）的行为，并且它们无法对大多数材料进行逼真的模拟。在本文中，我们提出了一个数据驱动的技术，更逼真的动画布。我们提出了一个分段线性弹性模型，是一个很好的近似非线性，各向异性拉伸和弯曲行为的各种材料。我们开发了新的测量技术，用于研究真实的织物样品的拉伸和弯曲弹性变形。我们的设置是简单和廉价的构造，我们的模型的参数可以适合观测数据与适定的优化过程。我们已经测量了十种不同布料的数据库，每种布料都表现出独特的弹性行为。这些测量可用于大多数布料模拟系统中，为各种不同的材料创建自然逼真的衣服褶皱和形状。
Cloth often has complicated nonlinear, anisotropic elastic behavior due to its woven pattern and fiber properties. However, most current cloth simulation techniques simply use linear and isotropic elastic models with manually selected stiffness parameters. Such simple simulations do not allow differentiating the behavior of distinct cloth materials such as silk or denim, and they cannot model most materials with fidelity to their real-world counterparts. In this paper, we present a data-driven technique to more realistically animate cloth. We propose a piecewise linear elastic model that is a good approximation to nonlinear, anisotropic stretching and bending behaviors of various materials. We develop new measurement techniques for studying the elastic deformations for both stretching and bending in real cloth samples. Our setup is easy and inexpensive to construct, and the parameters of our model can be fit to observed data with a well-posed optimization procedure. We have measured a database of ten different cloth materials, each of which exhibits distinctive elastic behaviors. These measurements can be used in most cloth simulation systems to create natural and realistic clothing wrinkles and shapes, for a range of different materials.