Over Two Decades of Integration‐Based, Geometric Flow Visualization
Over Two Decades of Integration‐Based, Geometric Flow Visualization
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DOI：
10.1111/j.1467-8659.2010.01650.x
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发表时间：
2010-09
影响因子：
2.5
通讯作者：
Tony McLoughlin;R. Laramee;R. Peikert;F. Post;Min Chen
中科院分区：
文献类型：
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作者：
Tony McLoughlin;R. Laramee;R. Peikert;F. Post;Min Chen
随着计算能力的不断提高，可以处理越来越复杂的流体模拟。然而，数据集大小和我们可视化它们的能力之间的差距仍然存在。这对于流动可视化领域尤其如此，该领域处理大型、时间依赖性、多变量模拟数据集。在本文中，基于几何的流动可视化技术形成讨论的重点。几何流动可视化方法将离散对象放置在速度场中，其特征反映了流动的基本特性。在过去的二十年里，这一领域取得了很大的进展。然而，仍然存在一些挑战，包括布局，计算速度和感知。在这次调查中，我们回顾和分类几何流可视化文献时，考虑这样的可视化，一个中心主题是播种算法的基础上，根据最重要的挑战。本文详细介绍了我们对这些技术的调查，讨论了它们的适用性和它们的相对优点和缺点。其结果是对当前最新技术水平的最新概述，突出了这一快速发展的分支研究中已解决和未解决的问题。它也作为一个简明的介绍，流动可视化研究领域。
With ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them remains. This is especially true for the field of flow visualization, which deals with large, time‐dependent, multivariate simulation data sets. In this paper, geometry‐based flow visualization techniques form the focus of discussion. Geometric flow visualization methods place discrete objects in the velocity field whose characteristics reflect the underlying properties of the flow. A great amount of progress has been made in this field over the last two decades. However, a number of challenges remain, including placement, speed of computation and perception. In this survey, we review and classify geometric flow visualization literature according to the most important challenges when considering such a visualization, a central theme being the seeding algorithm upon which they are based. This paper details our investigation into these techniques with discussions on their applicability and their relative merits and drawbacks. The result is an up‐to‐date overview of the current state‐of‐the‐art that highlights both solved and unsolved problems in this rapidly evolving branch of research. It also serves as a concise introduction to the field of flow visualization research.