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基于最大轮廓的标量场交互式比较及其在流动可视化中的应用。

Interactive comparison of scalar fields based on largest contours with applications to flow visualization.

作者信息

Schneider Dominic, Wiebel Alexander, Carr Hamish, Hlawitschka Mario, Scheuermann Gerik

机构信息

University of Leipzig.

出版信息

IEEE Trans Vis Comput Graph. 2008 Nov-Dec;14(6):1475-82. doi: 10.1109/TVCG.2008.143.

Abstract

Understanding fluid flow data, especially vortices, is still a challenging task. Sophisticated visualization tools help to gain insight. In this paper, we present a novel approach for the interactive comparison of scalar fields using isosurfaces, and its application to fluid flow datasets. Features in two scalar fields are defined by largest contour segmentation after topological simplification. These features are matched using a volumetric similarity measure based on spatial overlap of individual features. The relationships defined by this similarity measure are ranked and presented in a thumbnail gallery of feature pairs and a graph representation showing all relationships between individual contours. Additionally, linked views of the contour trees are provided to ease navigation. The main render view shows the selected features overlapping each other. Thus, by displaying individual features and their relationships in a structured fashion, we enable exploratory visualization of correlations between similar structures in two scalar fields. We demonstrate the utility of our approach by applying it to a number of complex fluid flow datasets, where the emphasis is put on the comparison of vortex related scalar quantities.

摘要

理解流体流动数据,尤其是涡旋,仍然是一项具有挑战性的任务。先进的可视化工具有助于深入了解。在本文中,我们提出了一种使用等值面进行标量场交互式比较的新方法,并将其应用于流体流动数据集。两个标量场中的特征通过拓扑简化后的最大轮廓分割来定义。这些特征使用基于单个特征空间重叠的体积相似性度量进行匹配。由该相似性度量定义的关系进行排序,并呈现为特征对的缩略图库和显示各个轮廓之间所有关系的图形表示。此外,还提供了轮廓树的链接视图以方便导航。主渲染视图显示所选特征相互重叠。因此,通过以结构化方式显示单个特征及其关系,我们能够对两个标量场中相似结构之间的相关性进行探索性可视化。我们通过将该方法应用于多个复杂的流体流动数据集来证明其效用,其中重点是与涡旋相关的标量量的比较。

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