利用虚拟现实实现大型复杂数据集的可视化

S. Sarathy, K. Shujaee, K. Cannon
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引用次数: 6

摘要

高性能计算软件和硬件的重大进步使设计者和分析人员能够获得有关复杂系统行为的详细信息。然而,这导致了大量数据的激增,这些数据超出了人类使用传统可视化方法轻松理解的能力。该方法将新兴的可视化工具与数据过滤和数据挖掘技术相结合。该方法使用虚拟现实(VR)与多媒体技术相结合,在允许非专业用户理解和解释数据的环境中显示信息。在NASA SBIR第二阶段的努力下,开发了一个原型可视化工具。本文以这项工作的结果为基础,提出了一个可视化框架,可用于检查、理解和解释任何复杂数据集的结果,特别是那些用于支持决策活动的数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualization of large complex datasets using virtual reality
Major advances in high performance computing software and hardware have made it possible for designers and analysts to obtain detailed information about the behavior of complex systems. However, this has lead to a proliferation of vast amounts of data which is beyond the ability of humans to easily comprehend using traditional visualization methods. The method presented combines emerging visualization tools with data filtering and data mining techniques. This method uses virtual reality (VR) coupled with multimedia techniques to display information within an environment that allows non-expert users to understand and interpret the data. A prototype visualization tool was developed under a NASA SBIR Phase II effort. This paper builds on the results of this work and suggests a visualization framework that can be used to examine, comprehend and interpret results in any complex data set, particularly those used in support of decision making activities.
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