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图学学报

图学学报 ›› 2022, Vol. 43 ›› Issue (5): 753-764.DOI: 10.11996/JG.j.2095-302X.2022050753

• 综述 • 上一篇    下一篇

表意性方法在三维流线可视化中的 应用综述

  

  1. 1. 华北电力大学控制与计算机工程学院，河北 保定 071003；  2. 复杂能源系统智能计算教育部工程研究中心，河北 保定 071003
  • 出版日期:2022-10-31 发布日期:2022-10-28
  • 基金资助:
    河北省自然科学基金项目(F2020502014)；中央高校基本科研业务费专项(2021MS095)；国家自然科学基金项目(61502168) 

A review of the application of illustrative methods in 3D streamline visualization

  1. 1. School of Control and Computer Engineering, North China Electric Power University, Baoding Hebei 071003, China;  2. Engineering Research Center of Intelligent Computing for Complex Energy Systems, Ministry of Education, Baoding Hebei 071003, China
  • Online:2022-10-31 Published:2022-10-28
  • Supported by:
    Natural Science Foundation of Hebei Province (F2020502014); Special Fund for Basic Scientific Research Business of Central Universities (2021MS095); National Natural Science Foundation of China (61502168) 

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摘要：

流线可视化是流场可视化的重要方法，其能直观地表达流场的结构和流动趋势。但在三维流场使 用流线可视化时，不恰当地绘制方法、选择方法、呈现方式会导致可视化结果表达能力差，用户很难从中高效获 取流动信息。重点对解决该类问题的表意性可视化方法进行了调研，为了全面反映表意性方法在三维流线可视化 中的研究进展，对近十几年国内外具有代表性的论文进行了系统地阐述。首先介绍了表意性可视化方法的相关概 念，然后将视觉感知增强类、可见性管理类和焦点+上下文等表意性方法在三维流线可视化中的应用进行分类阐 述，并讨论了各种方法的优缺点。最后总结分析了表意性方法在三维流线可视化中面临的问题和挑战，并对未来 的研究方向进行了展望。

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Abstract:

Streamline visualization is an important method of flow visualization. It can directly represent the structure and flow trend of the flow field. However, when streamline visualization is used in the three-dimensional flow field, inappropriate rendering methods, selection methods, and presentation methods will lead to poor expression ability of visual results, and it is difficult for users to efficiently obtain flow information. In order to fully reflect the research progress of illustrative methods in 3D streamline visualization, this paper systematically reviewed the representative papers at home and abroad over recent ten years ago. First, the related concepts of illustrative visualization methods were introduced, and then the applications of illustrative methods such as visual perception enhancement, visibility management, and focus + context in 3D streamline visualization were summarized and classified, and the advantages and disadvantages of each method are discussed. The illustrative method of visual perception enhancement refers to that when perceiving the world, human beings make full use of all the visual information. Visibility management refers to the improvement of the overall visibility of data by reducing confusion and occlusion through such means as clustering and selective visualization, thus optimizing the visual space. Focus + context emphasizes which part is the area of special interest, that is, focus, and highlights it. For less important areas, namely, context, it is utilized to provide background. Focus + context technology highlights the characteristics of the data rather than the overall structure. Finally, the application of illustrative methods in 3D streamline visualization is summarized and analyzed. The problems and challenges in streamline visualization were presented, and future research directions were prospected. 

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