A bottom-up scheme for user-defined feature exploration in vector field ensembles

Richen Liu, Hanqi Guo, Xiaoru Yuan
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引用次数: 2

Abstract

Most of the existing approaches to visualize vector field ensembles are achieved by visualizing the uncertainty of individual variables from different simulation runs. However, the comparison of the derived feature or user-defined feature, such as the vortex in ensemble flow is also of vital significance since they often make more sense according to the domain knowledge. In this work, we present a framework to extract user-defined feature from different simulation runs. Specially, we use a bottom-up searching scheme to help to extract vortex with a user-defined shape, and further compute the geometry information including the size, and the geo-spatial location of the extracted vortex. Finally we design some linked views to compare the feature between different runs.
矢量场集成中自定义特征探索的自底向上方案
大多数现有的矢量场集成可视化方法都是通过可视化不同模拟运行中单个变量的不确定性来实现的。然而,将衍生特征与自定义特征(如集合流中的涡旋)进行比较也具有重要意义,因为根据领域知识,它们往往更有意义。在这项工作中,我们提出了一个框架来从不同的模拟运行中提取用户定义的特征。特别地,我们使用自底向上的搜索方案来帮助提取自定义形状的漩涡,并进一步计算提取漩涡的几何信息,包括大小和地理空间位置。最后,我们设计了一些链接视图来比较不同运行之间的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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