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交互式分离条纹曲面。

Interactive separating streak surfaces.

机构信息

Technische Universität München.

出版信息

IEEE Trans Vis Comput Graph. 2010 Nov-Dec;16(6):1569-77. doi: 10.1109/TVCG.2010.169.

Abstract

Streak surfaces are among the most important features to support 3D unsteady flow exploration, but they are also among the computationally most demanding. Furthermore, to enable a feature driven analysis of the flow, one is mainly interested in streak surfaces that show separation profiles and thus detect unstable manifolds in the flow. The computation of such separation surfaces requires to place seeding structures at the separation locations and to let the structures move correspondingly to these locations in the unsteady flow. Since only little knowledge exists about the time evolution of separating streak surfaces, at this time, an automated exploration of 3D unsteady flows using such surfaces is not feasible. Therefore, in this paper we present an interactive approach for the visual analysis of separating streak surfaces. Our method draws upon recent work on the extraction of Lagrangian coherent structures (LCS) and the real-time visualization of streak surfaces on the GPU. We propose an interactive technique for computing ridges in the finite time Lyapunov exponent (FTLE) field at each time step, and we use these ridges as seeding structures to track streak surfaces in the time-varying flow. By showing separation surfaces in combination with particle trajectories, and by letting the user interactively change seeding parameters such as particle density and position, visually guided exploration of separation profiles in 3D is provided. To the best of our knowledge, this is the first time that the reconstruction and display of semantic separable surfaces in 3D unsteady flows can be performed interactively, giving rise to new possibilities for gaining insight into complex flow phenomena.

摘要

条纹面是支持 3D 非定常流探索的最重要特征之一,但它们也是计算上最具挑战性的特征之一。此外,为了能够对流动进行基于特征的分析,人们主要关注显示分离轮廓的条纹面,从而检测流中的不稳定流形。计算这样的分离面需要在分离位置放置种子结构,并让结构相应地在非定常流中移动到这些位置。由于对分离条纹面的时间演化只有很少的了解,目前,使用这种表面对 3D 非定常流进行自动探索是不可行的。因此,在本文中,我们提出了一种用于分离条纹面可视化分析的交互式方法。我们的方法借鉴了最近关于拉格朗日相干结构(LCS)提取和 GPU 上条纹面实时可视化的工作。我们提出了一种在每个时间步计算有限时间李雅普诺夫指数(FTLE)场中脊的交互式技术,并使用这些脊作为种子结构来跟踪时变流中的条纹面。通过显示分离面与粒子轨迹的结合,并让用户交互地改变种子参数,如粒子密度和位置,提供了在 3D 中非定常流中分离轮廓的视觉引导探索。据我们所知,这是首次能够在 3D 非定常流中进行交互式重建和显示语义可分离表面,为深入了解复杂流动现象提供了新的可能性。

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