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Identifying optimal graphical level of detail to support orienting with 3D geo-visualizations
Spatial Cognition & Computation ( IF 1.6 ) Pub Date : 2021-03-08 , DOI: 10.1080/13875868.2021.1892696
Aaron L. Gardony 1, 2 , Dalit D. Hendel 2 , Tad T. Brunyé 1, 2, 3
Affiliation  

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.



中文翻译:

识别最佳图形细节级别以支持使用 3D 地理可视化进行定向

摘要

有限的硬件处理能力和网络带宽限制了用户可以有效可视化的摄影测量衍生 3D 地形模型的质量和数量。在本研究中,我们检查了哪些图形细节层次 (LOD) 足以支持大规模环境 3D 渲染中的有效空间定位和定向。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,在试验的基础上操纵 LOD,在地理可视化过程中跟踪交互,并测量定向性能。结果表明,中等(而不是最大)LOD 足以进行空间定位,为最终用户设备上地形模型的收集、传输和可视化提出了新的指导方针。

更新日期:2021-03-08
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