Hierarchical opacity optimization for sets of 3D line fields
Hierarchical opacity optimization for sets of 3D line fields
复制标题
3D 线场集的分层不透明度优化
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
H. Theisel
中科院分区：
文献类型：
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作者：
Tobias Günther;C. Rössl;H. Theisel
在三维线数据可视化中选择有意义的线是近年来研究的热点。大多数方法关注单线场，其中一条线穿过每个域点。本文提出了一种基于候选线不透明度全局优化的线场集选择方法。为此，对单行字段的现有方法进行了修改，以便处理大量的行表示。此外，时间一致性解决了动画，使其成为解决3D时间依赖流的选线问题的第一种方法。我们将我们的技术应用于可视化密集的路径线集、磁场线集以及路径线、条纹线和质量线的动画集。
The selection of meaningful lines for 3D line data visualization has been intensively researched in recent years. Most approaches focus on single line fields where one line passes through each domain point. This paper presents a selection approach for sets of line fields which is based on a global optimization of the opacity of candidate lines. For this, existing approaches for single line fields are modified such that significantly larger amounts of line representatives are handled. Furthermore, time coherence is addressed for animations, making this the first approach that solves the line selection problem for 3D time‐dependent flow. We apply our technique to visualize dense sets of pathlines, sets of magnetic field lines, and animated sets of pathlines, streaklines and masslines.