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Proceedings Paper

Animating streamlines with repeated asymmetric patterns for steady flow visualization
Author(s): Chih-Kuo Yeh; Zhanping Liu; Tong-Yee Lee
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Paper Abstract

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.

Paper Details

Date Published: 25 January 2012
PDF: 12 pages
Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940R (25 January 2012); doi: 10.1117/12.911968
Show Author Affiliations
Chih-Kuo Yeh, National Cheng Kung Univ. (Taiwan)
Zhanping Liu, Univ. of Pennsylvania (United States)
Kentucky State Univ. (United States)
Tong-Yee Lee, National Cheng Kung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 8294:
Visualization and Data Analysis 2012
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen; Robert Kosara; Mark A. Livingston; Jinah Park; Ian Roberts, Editor(s)

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