引入基于目标的仿真数据集可视化拓扑属性

Yuriko Takeshima, Shigeo Takahashi, I. Fujishiro, G. Nielson
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引用次数: 39

摘要

多维传递函数设计的最新发展使我们能够通过考虑微分和曲率等局部特征,自动生成给定体积的可理解的可视化图像。然而,特别是在通过科学模拟获得的可视化体时,观察者通常利用他们关于模拟设置的知识作为有效控制可视化参数的线索,以满足自己的特定目的。因此,本文提出了一个基于目标的框架,通过引入一组新的拓扑属性来可视化模拟体数据集。这些拓扑属性是从给定的卷数据集的水平集图中计算出来的,因此与传统的局部属性不同,它们也照亮了卷的全局结构。目前的框架提供了一种系统的方法来强调潜在的体积特征,如等面层的嵌套结构、等面层轨迹的配置以及等面层拓扑类型的转换。设计了拓扑属性的几种组合以及相关的传递函数设计,并将其应用于实际的模拟数据集,以证明该框架的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing topological attributes for objective-based visualization of simulated datasets
Recent development in the design of multi-dimensional transfer functions allows us to automatically generate comprehensible visualization images of given volumes by taking into account local features such as differentials and curvatures. However, especially when visualizing volumes obtained by scientific simulations, observers usually exploit their knowledge about the simulation settings as the clues to the effective control of visualization parameters for their own specific purposes. This paper therefore presents an objective-based framework for visualizing simulated volume datasets by introducing a new set of topological attributes. These topological attributes are calculated from the level-set graph of a given volume dataset, and thus differ from the conventional local attributes in that they also illuminate the global structure of the volume. The present framework provides a systematic means of emphasizing the underlying volume features, such as nested structures of isosurfaces, configuration of isosurface trajectories, and transitions of isosurface's topological type. Several combinations of the topological attributes together with the associated transfer function designs are devised and applied to real simulated datasets in order to demonstrate the feasibility of the present framework.
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