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Efficient level of detail for texture-based flow visualization

文献类型：期刊论文

作者Lu, Daying2,3; Zhu, Dengming2; Wang, Zhaoqi2; Gao, Jinzhu1
刊名COMPUTER ANIMATION AND VIRTUAL WORLDS
出版日期2016-03-01
卷号27期号:2页码:123-140
关键词level of detail texture-based visualization noise optimization efficient acceleration smooth animation
ISSN号1546-4261
DOI10.1002/cav.1664
英文摘要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.
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
语种英语
WOS记录号WOS:000374010000004
出版者WILEY-BLACKWELL
源URL[http://119.78.100.204/handle/2XEOYT63/8474]  
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.Univ Pacific, Sch Engn & Comp Sci, Stockton, CA 95211 USA
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
3.Chinese Acad Sci, Grad Univ, Beijing, Peoples R China
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.

入库方式： OAI收割

来源：计算技术研究所

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