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张繁, 王章野, 吴侃侃, 汪飞, 徐海波. 大屏幕拼接可视化技术的研究进展[J]. 计算机辅助设计与图形学学报, 2016, 28(1): 9-15.
引用本文: 张繁, 王章野, 吴侃侃, 汪飞, 徐海波. 大屏幕拼接可视化技术的研究进展[J]. 计算机辅助设计与图形学学报, 2016, 28(1): 9-15.
Zhang Fan, Wang Zhangye, Wu Kankan, Wang Fei, Xu Haibo. A Survey of Visualization Techniques for Large-Scale Screen[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(1): 9-15.
Citation: Zhang Fan, Wang Zhangye, Wu Kankan, Wang Fei, Xu Haibo. A Survey of Visualization Techniques for Large-Scale Screen[J]. Journal of Computer-Aided Design & Computer Graphics, 2016, 28(1): 9-15.

大屏幕拼接可视化技术的研究进展

A Survey of Visualization Techniques for Large-Scale Screen

  • 摘要: 随着全样本大数据分析时代的到来,传统的显示技术已很难满足人们对信息的多通道、高清展示需求.而大屏幕拼接可视化技术正是为解决这一问题而发展起来的,它具有超大画面、纯真彩色、高亮度、高分辨率等显示优势,可应用于指挥监控、视景仿真及三维交互等领域.文中对目前大屏幕拼接可视化技术的研究进展进行了详细地介绍和分析,从硬件环境、软件平台、交互式可视分析和数据同步技术4个方面对现有各类技术的优缺点进行了总结比较,并指出了该领域需进一步探索研究的方向.

     

    Abstract: With the rapid development of high performance computing, full-size sample analysis has become possible in data visualization. Meanwhile, people need more advanced display techniques to understand information like multichannel and high resolution exhibition. Large-screen splicing visualization is a practicable research area offering big scale frames and an interactive environment in many applications. In this paper, we introduce the concept and compare the related works on large screen splicing visualization techniques. We analyze four aspects, namely, hardware, software, interactive visual analysis and data synchronization techniques. Finally, we summarize the challenges and discuss future research on this topic.

     

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