Geometric Quantification of Features in Large Flow Fields
Geometric Quantification of Features in Large Flow Fields
复制标题
DOI：
10.1109/mcg.2012.49
复制
发表时间：
2012-07
影响因子：
1.8
通讯作者：
W. Kendall;Jian Huang;T. Peterka
中科院分区：
文献类型：
--
作者：
W. Kendall;Jian Huang;T. Peterka
大规模三维非定常流数据中流动特征的交互探索是当今最具挑战性的可视化问题之一。为了全面地探索这些数据集中的复杂特征空间，所提出的系统采用了一个可扩展的框架，用于调查来自跟踪场线的众多特征。此功能支持与其他标量一起检查各种基于邻域的几何属性。这样的分析以前是不可能的，因为计算开销和I/O需求很大。该系统集成了可视化分析方法，让用户程序化和交互式地描述和提取高层次的流特征。在一个大型的全球海洋模拟各种现象的探索表明，该方法的通用性和表达能力，以及它的有效性。
Interactive exploration of flow features in large-scale 3D unsteady-flow data is one of the most challenging visualization problems today. To comprehensively explore the complex feature spaces in these datasets, a proposed system employs a scalable framework for investigating a multitude of characteristics from traced field lines. This capability supports the examination of various neighborhood-based geometric attributes in concert with other scalar quantities. Such an analysis wasn't previously possible because of the large computational overhead and I/O requirements. The system integrates visual analytics methods by letting users procedurally and interactively describe and extract high-level flow features. An exploration of various phenomena in a large global ocean-modeling simulation demonstrates the approach's generality and expressiveness as well as its efficacy.