ImNDT:用于分析来自无损检测的多维材料数据的沉浸式工作空间

Alexander Gall, E. Gröller, C. Heinzl
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引用次数: 3

摘要

对非破坏性检测(NDT)技术(如x射线计算机断层扫描(XCT))产生的大型多维体积数据的分析,很难使用桌面监视器上的标准二维可视化技术进行评估。纤维增强聚合物(frp)的分析目前是一项耗时且需要认知能力的任务,因为frp具有复杂的空间结构,由数十万根纤维组成,每根纤维都有20多种不同的提取特征。本文介绍了一种新颖的可视化系统ImNDT,它为材料专家提供了一个沉浸式的frp多维二次数据探索。我们的系统基于虚拟现实(VR)头戴式设备(HMD),通过嵌入式导航,避免菜单和手动模式切换,实现流畅和自然的探索。我们开发了针对frp特征定制的沉浸式可视化和交互方法,如微型模型、相似网络和历史书。领域专家对我们的技术进行了评估,显示出在发现结构模式和相似性方面的优势。特别是新手可以从我们的直观表现和空间渲染中受益匪浅。
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ImNDT: Immersive Workspace for the Analysis of Multidimensional Material Data From Non-Destructive Testing
An analysis of large multidimensional volumetric data as generated by non-destructive testing (NDT) techniques, e.g., X-ray computed tomography (XCT), can hardly be evaluated using standard 2D visualization techniques on desktop monitors. The analysis of fiber-reinforced polymers (FRPs) is currently a time-consuming and cognitively demanding task, as FRPs have a complex spatial structure, consisting of several hundred thousand fibers, each having more than twenty different extracted features. This paper presents ImNDT, a novel visualization system, which offers material experts an immersive exploration of multidimensional secondary data of FRPs. Our system is based on a virtual reality (VR) head-mounted device (HMD) to enable fluid and natural explorations through embodied navigation, the avoidance of menus, and manual mode switching. We developed immersive visualization and interaction methods tailored to the characterization of FRPs, such as a Model in Miniature, a similarity network, and a histo-book. An evaluation of our techniques with domain experts showed advantages in discovering structural patterns and similarities. Especially novices can strongly benefit from our intuitive representation and spatial rendering.
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