基于视觉感知的二维线积分卷积矢量场可视化算法
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摘要
在流场可视化领域,优化算法进行以及提升可视化效果一直是研究者关注的重点。近年来,也有很多评估可视化质量的研究和改进算法被提出,但是,在算法实现和质量评估的过程中往往面临流场方向的二义性以及矢量场方向和大小描述不清的问题。为了解决该问题,尝试将人类视觉感知理论应用于对流场可视化结果质量的评估以及可视化效果的提升上,并在此研究基础上利用模拟旋风数据对二维线积分卷积矢量场可视化算法进行了研究和实现。
A great deal of efforts have gone into improving the algorithm and the display of the patterns in field of flow visualization during these years.However,in the process of algorithm implementation and quality assessment,the ambiguity of flow field direction and the unclear description of vector field direction and size are often encountered.In order to solve this problem,the theory of human visual perception was used to evaluate the quality of visualization results and improve the patters of flow.To put this design into practice,according to the visual perception,a display using wind vectors with line integral convolution algorithm was presented.
A great deal of efforts have gone into improving the algorithm and the display of the patterns in field of flow visualization during these years.However,in the process of algorithm implementation and quality assessment,the ambiguity of flow field direction and the unclear description of vector field direction and size are often encountered.In order to solve this problem,the theory of human visual perception was used to evaluate the quality of visualization results and improve the patters of flow.To put this design into practice,according to the visual perception,a display using wind vectors with line integral convolution algorithm was presented.
引文
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[2] STALLING D,HEGE H C.Fast and Resolution Independent Line Integral Comvolution[C]//Proceedings of SIGGRAPH95.1995:249-256.
[3] INTERRANTE V,GROSCH C.Strategies for effectively visualizing 3D flow with volume LIC[C]//Visualization’97.IEEE,1997:421-424.
[4] HEIDRICH W,WESTERMANN R,SEIDEL H P,et al.Applications of pixel textures in visualization and realistic image synthesis[C]//Proceedings of the 1999 Sympsoium on Interactive 3D Graphics.1999:127-134.
[5] WEGENKITTL R,GROLLER E,PURGATHOFER W.Ani- mating flow fields:rendering of oriented line integral convolution[C]//Computer Animation.IEEE Computer Society,1997:15.
[6] LAIDLAW D H,KIRBY R M,JACKSON C D,et al.Comparing 2D vector field visualization methods:a user study[J].IEEE Transactions on Visualization & Computer Graphics,1900,15(6):1219-1226.
[7] MARR D.Vision:A Computational Investigation into the Hu- man Representation and Processing of Visual Information[M].New York:Henry Hoct and Co.,1982.
[8] LIVINGSTONE M S,HUBEL D H.Psychophysical evidence for separate channels for the perception of form,color,movement,and depth[J].The Journal of Neuroscience,1987,7(11):3416-3468.
[9] WARE C,KELLEY J G W,PILAR D.Improving the Display of Wind Patterns and Ocean Currents[J].Bulletin of the American Meteorological Society,2014,95(10):1573-1581.
[10] GARLANDINI S,FABRIKANT S I.Evaluating the Effectiveness and Efficiency of Visual Variables for Geographic Information Visualization[C]//International Conference on Spatial Information Theory.Berlin:Springer-Verlag,2009:195-211.
[11] POST F H,VROLIJK B,HAUSER H,et al.Feature extraction and visualization of flow fields[J].Eurographics 2002 State-of-the-Art Reports,2002,1:69-100.
[12] WEISKOPF D,ERLEBACHER G.Flow Visualization Overview[M]//Handbook of Visualization.2005:261-278.
[13] FOWLER D,WARE C.Strokes for Representing Univariate Vector Field Maps[C]//Graphics Interface Proceedings.1989.
[14] WARE C.Toward a Perceptual Theory of Flow Visualization [J].IEEE Comput Graph Appl,2008,28(2):6-11.
[15] WARE C,MITCHELL P,KELLEY J,et al.Designing Flow Visualizations for Oceanography and Meteorology using Interactive Design Space Hill Climbing[C]//IEEE International Conference on Systems,Man and Cybernetics.IEEE,2009.
[16] 徐华勋.复杂流场特征提取与可视化方法研究[D].长沙:国防科学技术大学,2011.
[17] 刘占平,汪国平,董士海.一种新的VolumeLIC可视化方法[J].中国图象图形学报,2001,6(5):470-474.
[18] 潘金京.基于纹理的矢量场可视化方法研究[D].青岛:中国石油大学,2007.