Efficient level of detail for texture-based flow visualization

doi:10.1002/cav.1664

	Efficient level of detail for texture-based flow visualization
	Lu, Daying 1,2; Zhu, Dengming 1; Wang, Zhaoqi 1; Gao, Jinzhu 3
	2016-03-01
发表期刊	COMPUTER ANIMATION AND VIRTUAL WORLDS
ISSN	1546-4261
卷号	27 期号:2 页码:123-140
摘要	In this paper, we present an efficient level of detail algorithm for texture-based flow visualization. Our goal is to enhance visual perception and performance and generate smooth animation. To achieve our goal, we first model an adaptive input texture taking into account flow patterns to output view-dependent high-quality images. Then, we compute field lines only from sparse sampling points of the input noise texture for outputting volume line integral convolution textures and skip empty space utilizing two quantized binary histograms. To improve image quality, we implement anti-aliasing through adjusting the line integral convolution step size and thickness of trajectory lines with an opacity function. We further extend our solution to unsteady flow. Flow structures and evolution are clearly shown through smooth animation achieved with coherent evolution of particles, handling of discontinuous flow lines, and spatio-temporal linear constraint of the underlying noise volume. In the result section, we show high-quality level of detail of three-dimensional texture-based flow visualization with high performance. We also demonstrate that our algorithm can achieve smooth evolution for unsteady flow with spatio-temporal coherence. Copyright (c) 2015John Wiley & Sons, Ltd.
关键词	level of detail texture-based visualization noise optimization efficient acceleration smooth animation
DOI	10.1002/cav.1664
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61173067] ; National Natural Science Foundation of China[61272322] ; National Natural Science Foundation of China[61303157] ; National Natural Science Foundation of China[61379085]
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering
WOS记录号	WOS:000374010000004
出版者	WILEY-BLACKWELL
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/8475
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Lu, Daying
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing, Peoples R China 3.Univ Pacific, Sch Engn & Comp Sci, Stockton, CA 95211 USA
推荐引用方式 GB/T 7714	Lu, Daying,Zhu, Dengming,Wang, Zhaoqi,et al. Efficient level of detail for texture-based flow visualization[J]. COMPUTER ANIMATION AND VIRTUAL WORLDS,2016,27(2):123-140.
APA	Lu, Daying,Zhu, Dengming,Wang, Zhaoqi,&Gao, Jinzhu.(2016).Efficient level of detail for texture-based flow visualization.COMPUTER ANIMATION AND VIRTUAL WORLDS,27(2),123-140.
MLA	Lu, Daying,et al."Efficient level of detail for texture-based flow visualization".COMPUTER ANIMATION AND VIRTUAL WORLDS 27.2(2016):123-140.