Information-theoretic exploration for texture-based visualization
Lu, Daying1,2
刊名JOURNAL OF VISUALIZATION
2017-05-01
卷号20期号:2页码:393-404
关键词Information theory Texture-based visualization Sparse noise design Volume LIC Volume rendering
ISSN号1343-8875
DOI10.1007/s12650-016-0376-4
英文摘要In this paper, we present a novel texture-based visualizing algorithm. This algorithm can be used as a robust and effective descriptor based on view-dependent information-theoretic statistical analysis of flow data. We calculate local entropy values to measure the distinct feature structures in the underlying field. Volume rendering is used to visualize the extracted flow patterns automatically. Due to the high computational expense, texture construction and rendering skip all empty and unimportant blocks. And an efficient GPU implementation is integrated together for high interactive frame rates. We show the key components of our approach with detailed analysis, and demonstrate that our method can visualize 2D and 3D flow data effectively.
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 ; Imaging Science & Photographic Technology
语种英语
出版者SPRINGER
WOS记录号WOS:000400330300019
内容类型期刊论文
源URL[http://119.78.100.204/handle/2XEOYT63/6997]  
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.Qufu Normal Univ, Coll Software, Qufu 273165, Shandong, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
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GB/T 7714
Lu, Daying. Information-theoretic exploration for texture-based visualization[J]. JOURNAL OF VISUALIZATION,2017,20(2):393-404.
APA Lu, Daying.(2017).Information-theoretic exploration for texture-based visualization.JOURNAL OF VISUALIZATION,20(2),393-404.
MLA Lu, Daying."Information-theoretic exploration for texture-based visualization".JOURNAL OF VISUALIZATION 20.2(2017):393-404.
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