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Display of Vector Fields Using a Reaction-Diffusion Model

机译:使用反应扩散模型显示矢量场

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Effective visualization of vector fields relies on the ability to control the size and density of the underlying mapping to visual cues used to represent the field. In this paper we introduce the use of a reaction-diffusion model, already well known for its ability to form irregular spatio-temporal patters, to control the size, density, and placement of the vector field representation. We demonstrate that it is possible to encode vector field information (orientation and magnitude) into the parameters governing a reaction-diffusion model to form a spot pattern with the correct orientation, size, and density, creating an effective visualization. To encode direction we texture the spots using a light to dark fading texture. We also show that it is possible to use the reaction-diffusion model to visualize an additional scalar value, such as the uncertainty in the orientation of the vector field. An additional benefit of the reaction-diffusion visualization technique arises from its automatic densitydistribution. This benefit suggests using the technique to augment other vector visualization techniques. We demonstrate this utility by augmenting a LIC visualization with a reaction-diffusion visualization. Finally, the reaction-diffusion visualization method provides a technique that can be used for streamline and glyph placement.
机译:矢量场的有效可视化依赖于控制底层映射到用于表示该场的视觉提示的大小和密度的能力。在本文中,我们介绍了一种反应扩散模型的使用,该模型因其能够形成不规则的时空图案,控制矢量场表示的大小,密度和位置而闻名。我们证明可以将矢量场信息(方向和大小)编码为控制反应扩散模型的参数,以形成具有正确方向,大小和密度的光点图案,从而创建有效的可视化效果。为了编码方向,我们使用亮到暗的褪色纹理对斑点进行纹理化。我们还表明,可以使用反应扩散模型来可视化其他标量值,例如矢量场方向的不确定性。反应扩散可视化技术的另一个好处是其自动密度分布。此好处表明使用该技术可以增强其他矢量可视化技术。我们通过使用反应扩散可视化增强LIC可视化来演示此实用程序。最后,反应扩散可视化方法提供了可用于流线型和字形放置的技术。

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