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Physically Based Methods for Tensor Field Visualization

机译:基于物理的张量场可视化方法

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摘要

The physical interpretation of mathematical features of tensor fields is highly application-specific. Existing visualization methods for tensor fields only cover a fraction of the broad application areas. We present a visualization method tailored specifically to the class of tensor field exhibiting properties similar to stress and strain tensors, which are commonly encountered in geomechanics. Our technique is a global method that represents the physical meaning of these tensor fields with their central features: regions of compression or expansion. The method is based on two steps: first, we define a positive definite metric, with the same topological structure as the tensor field; second, we visualize the resulting metric. The eigenvector fields are represented using a texture-based approach resembling line integral convolution (LIC) methods. The eigenvalues of the metric are encoded in free parameters of the texture definition. Our method supports an intuitive distinction between positive andnegative eigenvalues. We have applied our method to synthetic and some standard data sets, and "real" data from Earth science and mechanical engineering application.
机译:张量场的数学特征的物理解释是高度特定于应用的。张量场的现有可视化方法仅覆盖了广阔的应用领域的一小部分。我们提供了一种专门针对张量场的可视化方法,该类张量场表现出类似于应力和张量的特性,这在地质力学中经常遇到。我们的技术是一种全局方法,其主要特征是代表这些张量场的物理含义:压缩或扩展区域。该方法基于两个步骤:首先,我们定义一个正定度量,其拓扑结构与张量场相同。其次,我们可视化结果指标。特征向量字段使用类似于线积分卷积(LIC)方法的基于纹理的方法表示。度量的特征值编码在纹理定义的自由参数中。我们的方法支持在正特征值和负特征值之间进行直观区分。我们已将我们的方法应用于合成数据集和一些标准数据集,以及来自地球科学和机械工程应用程序的“真实”数据。

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