Effects of VR System Fidelity on Analyzing Isosurface Visualization of Volume Datasets

Effects of VR System Fidelity on Analyzing Isosurface Visualization of Volume Datasets
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VR 系统保真度对体数据集等值面可视化分析的影响

DOI:
10.1109/tvcg.2014.20
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发表时间:
2014
影响因子:
5.2
通讯作者:
J. Socha
J. Socha
中科院分区:
计算机科学1区
文献类型:
--
作者:
B. Laha;D. Bowman;J. Socha

文献摘要

被引文献

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体视化是分析来自各种不同科学领域的数据集的重要技术。体数据分析本来就很困难,因为体是三维的、密集的、陌生的,需要科学家精确控制视角并做出精确的空间判断。研究人员提出,更具沉浸感(高保真度)的VR系统可能会提高体积数据集的任务性能,并且已经报告了与显示保真度不同组件相关的重要结果。但是,需要更多的信息来将这些结果推广到不同的任务类型、域和呈现样式。我们可视化的等值面提取的同步辐射显微计算机断层扫描(SR-μCT)扫描甲虫,在一个洞穴般的显示。我们进行了一项对照实验,评估系统保真度的三个组成部分(视野,立体视觉和头部跟踪)对适用于各种科学领域的各种抽象任务类别的影响,并将我们的结果与我们之前使用3D纹理渲染的实验结果进行了比较。我们报告了许多重要的发现。例如,对于具有等值面可视化的搜索和空间判断任务,立体显示器提供更好的性能,但是对于具有基于3D纹理的渲染的任务,具有更高的视野的显示器更有效,与其他显示组件的水平无关。我们还发现,具有高视野和头部跟踪的系统可以提高空间判断任务的性能。我们的研究结果扩展了现有的知识,并为设计VR系统提供了新的指导方针,以提高体积数据分析的有效性。
Volume visualization is an important technique for analyzing datasets from a variety of different scientific domains. Volume data analysis is inherently difficult because volumes are three-dimensional, dense, and unfamiliar, requiring scientists to precisely control the viewpoint and to make precise spatial judgments. Researchers have proposed that more immersive (higher fidelity) VR systems might improve task performance with volume datasets, and significant results tied to different components of display fidelity have been reported. However, more information is needed to generalize these results to different task types, domains, and rendering styles. We visualized isosurfaces extracted from synchrotron microscopic computed tomography (SR-μCT) scans of beetles, in a CAVE-like display. We ran a controlled experiment evaluating the effects of three components of system fidelity (field of regard, stereoscopy, and head tracking) on a variety of abstract task categories that are applicable to various scientific domains, and also compared our results with those from our prior experiment using 3D texture-based rendering. We report many significant findings. For example, for search and spatial judgment tasks with isosurface visualization, a stereoscopic display provides better performance, but for tasks with 3D texture-based rendering, displays with higher field of regard were more effective, independent of the levels of the other display components. We also found that systems with high field of regard and head tracking improve performance in spatial judgment tasks. Our results extend existing knowledge and produce new guidelines for designing VR systems to improve the effectiveness of volume data analysis.