Fuzzy Contour Trees: Alignment and Joint Layout of Multiple Contour Trees

Fuzzy Contour Trees: Alignment and Joint Layout of Multiple Contour Trees
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模糊轮廓树:多个轮廓树的对齐和联合布局

DOI:
10.1111/cgf.13985
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发表时间:
2020
影响因子:
2.5
通讯作者:
C. Garth
C. Garth
中科院分区:
计算机科学4区
文献类型:
--
作者:
A. Lohfink;Florian Wetzels;Jonas Lukasczyk;G. Weber;C. Garth

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我们描述了一种新的技术,用于基于多个标量场的轮廓树来同时可视化多个标量场,例如表示集合的成员。使用树对齐,这是一个类似于编辑距离映射的图论概念,我们识别多个等高线树上的共性,并利用这些共性来获得能够以易于解释、最小杂乱的方式同时表示所有树的布局。我们描述了一个启发式算法来计算给定相似性度量的树对齐,并给出了一个算法来计算得到的对齐轮廓树的联合布局。我们将我们的方法应用于标量场系综的可视化,讨论了基本的可视化和相互作用的可能性,并在几个解析和真实世界的例子上展示了结果。
We describe a novel technique for the simultaneous visualization of multiple scalar fields, e.g. representing the members of an ensemble, based on their contour trees. Using tree alignments, a graph‐theoretic concept similar to edit distance mappings, we identify commonalities across multiple contour trees and leverage these to obtain a layout that can represent all trees simultaneously in an easy‐to‐interpret, minimally‐cluttered manner. We describe a heuristic algorithm to compute tree alignments for a given similarity metric, and give an algorithm to compute a joint layout of the resulting aligned contour trees. We apply our approach to the visualization of scalar field ensembles, discuss basic visualization and interaction possibilities, and demonstrate results on several analytic and real‐world examples.
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发表时间: 2018-07
影响因子: 5.2
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