计算机科学 ›› 2019, Vol. 46 ›› Issue (6A): 242-245.
马颖异1, 李洪平1, 郭艺峰2
MA Ying-yi1, LI Hong-ping1, GUO Yi-feng2
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。
中图分类号:
[1]CABRAL B,LEEDOM L C.Imaging vector fields using line integral convolution[C]∥Conference on Computer Graphics and Interactive Techniques.SIGGRAPH:DBLP,1993:263-270. [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. |
[1] | 杨辉, 陶力宏, 朱建勇, 聂飞平. 基于锚点的快速无监督图嵌入 Fast Unsupervised Graph Embedding Based on Anchors 计算机科学, 2022, 49(4): 116-123. https://doi.org/10.11896/jsjkx.210200098 |
[2] | 张倩, 肖丽. 基于流线的流场可视化绘制方法综述 Review of Visualization Drawing Methods of Flow Field Based on Streamlines 计算机科学, 2021, 48(12): 1-7. https://doi.org/10.11896/jsjkx.201200108 |
[3] | 雷涛,连倩,加小红,刘鹏. 基于快速SLIC的图像超像素算法 Fast Simple Linear Iterative Clustering for Image Superpixel Algorithm 计算机科学, 2020, 47(2): 143-149. https://doi.org/10.11896/jsjkx.190400121 |
[4] | 李朋远,张志勇. 基于SWIFT的海量数据存储平台设计 Design of Storage Platform for Large Scale Data Based on SWIFT System 计算机科学, 2018, 45(6A): 601-605. |
[5] | 董天阳,姚佳洁,纪磊. 面向网络应用的三维树木模型简化方法研究 Research on Three-dimensional Tree Model Simplification for Web Applications 计算机科学, 2016, 43(Z6): 142-148. https://doi.org/10.11896/j.issn.1002-137X.2016.6A.034 |
[6] | 温雅敏,黎凤霞,龚 征,唐韶华. 一种AVR环境下KLEIN分组密码抗计时和缓存边信道攻击的快速保护方法 Fast Implementation of KLEIN for Resisting Timing and Cache Side-channel Attacks on AVR 计算机科学, 2015, 42(3): 148-152. https://doi.org/10.11896/j.issn.1002-137X.2015.03.031 |
[7] | 赵彦明,季圣杰. 基于图像自身复杂视觉信息的特征提取算法与应用 Feature Extraction Algorithms and Applications Based on Complex Visual Information of Image 计算机科学, 2014, 41(Z6): 234-238. |
[8] | 段大高,龚乐,万月亮,韩忠明. 基于张量投票的昆虫翅脉提取算法 Venation Extraction Algorithm for Insect Vein Based on Tensor Voting 计算机科学, 2014, 41(12): 216-219. https://doi.org/10.11896/j.issn.1002-137X.2014.12.047 |
[9] | 周海英,穆志纯. 基于局部视觉感知及语义联想的图像理解模型 Image Understanding Model Based on Local Visual Perception and Semantic Association 计算机科学, 2013, 40(7): 258-261. |
[10] | 赵顺华,吴义忠,沈博. 基于Web的多领域可视化建模系统设计与实现 Design and Implementation of Multi-domain Visual Modeling System Based on Web 计算机科学, 2013, 40(6): 138-141. |
[11] | 邹小林,冯国灿. 基于视觉感知和等周割的二维阈值分割算法 Image Thresholding Segmentation Based on Visual Perception and Isoperimetric Cut 计算机科学, 2013, 40(6): 303-307. |
[12] | 赵彦明. 基于视觉信息的PCNN参数自适应设定及模型改进 Adaptive Parameters Settings Method of PCNN Based on Visual Information and its Modified Model 计算机科学, 2013, 40(6): 291-294. |
[13] | 吴伟,卿鹏,漆锋滨. FILiC:一种CUDA上的交互型库函数框架 FILiC:A Framework for Interactive Library on CUDA 计算机科学, 2012, 39(3): 124-127. |
[14] | 韩牟,张宏,叶有培,许春根. 基于最大F距离码的McEliece公钥密码体制 McEliece Public-key Cryptosystem Based on the Maximum F-distance Code 计算机科学, 2010, 37(4): 77-. |
[15] | 付剑锋,刘宗田,刘炜,单建芳. 基于特征加权的事件要素识别 Feature Weighting Based Event Argument Identification 计算机科学, 2010, 37(3): 239-241. |
|