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Tensor Field Visualization Using Eulerian Fluid Simulation

机译:使用欧拉流体仿真的张力场可视化

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In symmetric second order tensor fields, the colinearity and coplanarity of the represented structures are properties of major interest. In this paper, we present a method that induces the human perceptual system to extract these structures by using an Eulerian fluid simulation. Differently of previous approaches, our model explores the interaction between the particles to improve the perception of the underlying structures in the tensor field. The main contribution is the introduction of a tensor based advection step and a gradient based external force, suitable for viewing colinear and coplanar structures. Our experimental results show that fluids are suitable to reveal curves, surfaces and their connec- tions.
机译:在对称的二阶张量场中,所代表结构的Colinearity和共面是主要兴趣的性质。在本文中,我们提出了一种方法,其诱导人类感知系统通过使用欧拉流体模拟来提取这些结构。不同的方法不同,我们的模型探讨了颗粒之间的相互作用,以改善张量场中的底层结构的感知。主要贡献是引入基于张量的平流步骤和基于梯度的外力,适用于观察Colinear和共面结构。我们的实验结果表明,流体适合揭示曲线,表面及其连接。

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