动画流线与重复的不对称模式,稳定流动的可视化

Chih-Kuo Yeh, Zhanping Liu, Tong-Yee Lee
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引用次数: 2

摘要

在科学可视化中,动画为揭示数据的基本时空特征提供了直观的线索。本文探讨了重复不对称图案(rap)在动画中均匀间隔彩色映射流线的设计,以实现复杂稳定流的密集精确可视化。我们提出了一个平滑循环可变速度RAP动画模型,该模型在流线上执行速度(大小)积分亮度转换。该模型扩展了沿切线方向亮度变化的流线间同步,从基于几何的流表示模拟正交推进波,然后在正交方向上使用均匀间隔的色相来构建切线流条纹。为了编织这两组相互对双的图案,我们提出了一种能量递减策略,该策略采用迭代而有效的程序来确定HSL色彩空间中每个流线的亮度相位和色调。我们还采用垂直于流方向的自适应亮度交错,以增加流线之间的对比度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Animating streamlines with repeated asymmetric patterns for steady flow visualization
Animation provides intuitive cueing for revealing essential spatial-temporal features of data in scientific visualization. This paper explores the design of Repeated Asymmetric Patterns (RAPs) in animating evenly-spaced color-mapped streamlines for dense accurate visualization of complex steady flows. We present a smooth cyclic variable-speed RAP animation model that performs velocity (magnitude) integral luminance transition on streamlines. This model is extended with inter-streamline synchronization in luminance varying along the tangential direction to emulate orthogonal advancing waves from a geometry-based flow representation, and then with evenly-spaced hue differing in the orthogonal direction to construct tangential flow streaks. To weave these two mutually dual sets of patterns, we propose an energy-decreasing strategy that adopts an iterative yet efficient procedure for determining the luminance phase and hue of each streamline in HSL color space. We also employ adaptive luminance interleaving in the direction perpendicular to the flow to increase the contrast between streamlines.
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