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Visualizing linear neighborhoods in non-linear vector fields

机译:可视化非线性矢量场中的线性邻域

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Linear approximation plays an important role in many areas employing numerical algorithms. Particularly in the field of vector field visualization, it is the basis of widely used techniques. In this paper, we introduce two methods to extract areas in two- and three-dimensional vector fields that are connected to linear flow behavior. We propose a region-growing algorithm that extracts the linear neighborhood for a certain position. The region is characterized by linear flow behavior up to a user-defined approximation threshold. While this first method computes the size of a region given the mentioned threshold, our second method computes the quality of a linear approximation given a user-defined n-ring neighborhood. The scalar field resulting from the second method is, therefore, called affine linear approximation error. Isosurfaces of this field show regions of close-to-linear and non-linear flow behavior. We demonstrate the expressiveness and discuss the properties of the extracted regions using analytical examples and several datasets from the domain of computational fluid dynamics (CFD).
机译:线性逼近在采用数值算法的许多领域中起着重要作用。特别是在矢量场可视化领域,它是广泛使用的技术的基础。在本文中,我们介绍了两种方法来提取与线性流动行为有关的二维和三维矢量场中的区域。我们提出了一种区域增长算法,该算法提取特定位置的线性邻域。该区域的特征是线性流动行为达到用户定义的近似阈值。第一种方法在给定阈值的情况下计算区域的大小,而第二种方法在给定用户定义的n环邻域的情况下计算线性近似的质量。因此,第二种方法产生的标量场称为仿射线性近似误差。该场的等值面显示了接近线性和非线性流动行为的区域。我们演示了表达性,并使用分析示例和计算流体力学(CFD)领域的几个数据集讨论了提取区域的属性。

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