Moving with the flow: an automatic tour of unsteady flow fields
Moving with the flow: an automatic tour of unsteady flow fields
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DOI：
10.1007/s12650-019-00592-3
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发表时间：
2019-08
影响因子：
1.7
通讯作者：
Jun Ma;Jun Tao;Chaoli Wang;Can Li;Ching-Kuang Shene;S. Kim
中科院分区：
文献类型：
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作者：
Jun Ma;Jun Tao;Chaoli Wang;Can Li;Ching-Kuang Shene;S. Kim
本文提出了一种新的框架，它可以自动浏览非定常流场，以探索内部流动特征。我们的解决方案首先确定时间步长的临界流区域，并计算它们的时间对应关系。 然后，我们从关键区域提取骨架的特征方向和路径线的位置。我们的算法的关键部分，确定在每个时间步的关键区域集中，并推导出随着时间的推移，使用能量最小化和动态规划策略相结合的区域遍历顺序。 在此之后，我们创建候选视点的基础上构建一个简化的网格包围每个焦点区域，并选择最好的视点使用的视点质量措施。最后，我们设计了一个时空之旅，有效地穿越焦点区域随着时间的推移。 我们使用多个非定常流数据集演示了我们的算法，并进行了用户研究和专家评估，以确认在设计中包含内部视点的好处。图形摘要
AbstractWe present a novel framework that creates an automatic tour of unsteady flow fields for exploring internal flow features. Our solution first identifies critical flow regions for time steps and computes their temporal correspondence. We then extract skeletons from critical regions for feature orientation and pathline placement. The key part of our algorithm determines which critical region to focus on at each time step and derives the region traversal order over time using a combination of energy minimization and dynamic programming strategies. After that, we create candidate viewpoints based on the construction of a simplified mesh enclosing each focal region and select the best viewpoints using a viewpoint quality measure. Finally, we design a spatiotemporal tour that efficiently traverses focal regions over time. We demonstrate our algorithm with several unsteady flow data sets and perform a user study and an expert evaluation to confirm the benefits of including internal viewpoints in the design.Graphic abstract