识别最佳的图形细节级别,以支持3D地理可视化的定向

IF 1.6 4区 心理学 Q3 PSYCHOLOGY, EXPERIMENTAL Spatial Cognition and Computation Pub Date : 2021-03-08 DOI:10.1080/13875868.2021.1892696
Aaron Gardony, Dalit D. Hendel, Tad T. Brunyé
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引用次数: 0

摘要

有限的硬件处理能力和网络带宽限制了用户能够有效可视化的摄影测量衍生的三维地形模型的质量和数量。在本研究中,我们研究了在大规模环境的3D渲染中,什么样的图形细节水平(LOD)足以支持有效的空间定位和定向。我们开发了一个交互式桌面分屏定向和地理可视化任务,使用摄影测量衍生的3D地形模型,在逐个试验的基础上操作LOD,跟踪地理可视化过程中的交互,并测量定向性能。结果表明,中等(而不是最大)LOD足以用于空间定位,这为最终用户设备上地形模型的收集、传输和可视化提供了新的指导方针。我们在空间感知、认知和行为的背景下讨论这些发现。
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Identifying optimal graphical level of detail to support orienting with 3D geo-visualizations
ABSTRACT Limited hardware processing capacities and network bandwidth constrain the quality and quantity of photogrammetrically derived 3D terrain models that users can effectively visualize. In the present study, we examined what graphical level of detail (LOD) is sufficient to support effective spatial localization and orientation in 3D renderings of large-scale environments. We developed an interactive desktop split-screen orienting and geo-visualization task using photogrammetrically derived 3D terrain models, manipulating LOD on a trial-by-trial basis, tracking interactions during geo-visualization, and measuring orienting performance. Results demonstrated moderate (rather than maximum) LOD is sufficient for spatial orientation, suggesting new guidelines for the collection, transmission, and visualization of terrain models on end-user devices. We discuss these findings within the context of spatial perception, cognition, and behavior.
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来源期刊
Spatial Cognition and Computation
Spatial Cognition and Computation PSYCHOLOGY, EXPERIMENTAL-
CiteScore
4.40
自引率
5.30%
发文量
10
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