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An improved solution for deformation simulation of nonorthotropic geometric models

机译:非正交各向异性几何模型变形仿真的改进解决方案

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Physically based deformation simulation has been studied for many years in computer graphics. In order to simulate more complex geometric models and better meet the designer's requirements, many anisotropic approaches have been proposed in recent years. However, most of the approaches focus on simulating orthotropic models. In comparison with orthotropic models, nonorthotropic ones allow the objects to have anisotropic behaviors along nonorthogonal directions. In this paper, we introduce an improved approach to simulate nonorthotropic geometric models under large deformation. The improvements are mainly twofold. First, a frame field is specified on a given undeformed object, that is, each point of the object is equipped with a frame. In each local frame, we construct three independent vectors and form a nonorthogonal coordinate. Second, we design the deformation properties along each axis in the local nonorthogonal coordinate to get a local constitutive model. The final nonorthotropic model is generated by transforming the designed model from local nonorthogonal coordinates to the global standard Cartesian coordinate. To improve the stability, we introduce a time-varying method to simultaneously track the local coordinates reorientation by pushing forward the original frame field to the deformed frame field. Experiments show that the deformation simulation using the designed nonorthotropic models exhibits anisotropic behaviors along different directions and are more stable than previous methods.
机译:基于物理的变形模拟已经在计算机图形学中研究了很多年。为了模拟更复杂的几何模型并更好地满足设计人员的要求,近年来提出了许多各向异性方法。但是,大多数方法都集中在模拟正交各向异性模型上。与正交各向异性模型相比,非正交各向异性模型允许对象沿非正交方向具有各向异性行为。在本文中,我们介绍了一种改进的方法来模拟大变形下的非正交各向异性几何模型。改进主要是双重的。首先,在给定的未变形对象上指定框架字段,即,该对象的每个点都配有框架。在每个局部帧中,我们构造三个独立的向量,并形成一个非正交坐标。其次,我们设计局部非正交坐标沿每个轴的变形特性,以获得局部本构模型。通过将设计模型从局部非正交坐标转换为全局标准笛卡尔坐标,可以生成最终的非正交各向异性模型。为了提高稳定性,我们引入了一种时变方法,通过将原始帧场推向变形帧场来同时跟踪局部坐标的重新定向。实验表明,使用所设计的非正交各向异性模型进行的变形仿真显示出沿不同方向的各向异性行为,并且比以前的方法更稳定。

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