移动增强现实的室内与室外深度感知

M. Livingston, Zhuming Ai, J. Swan, H. Smallman
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引用次数: 54

摘要

在我们的移动增强现实(AR)系统中,我们在室内和室外环境中使用深度匹配任务测试了用户对虚拟物体的深度感知。室内环境的特点是强烈的线性视角线索;我们试图在室外环境中重新创造这些线索。在室内环境中,我们发现了虚拟环境和AR系统中典型的深度低估的总体模式。然而,在户外环境中,我们发现受试者高估了深度。此外,我们的合成线性视角提示在一定程度上取得了成功,引导用户减少对远处物体深度的估计。我们描述了实验过程,分析了数据,提出了研究结果,并讨论了对移动户外AR系统的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indoor vs. Outdoor Depth Perception for Mobile Augmented Reality
We tested users' depth perception of virtual objects in our mobile augmented reality (AR) system in both indoor and outdoor environments using a depth matching task. The indoor environment is characterized by strong linear perspective cues; we attempted to re-create these cues in the outdoor environment. In the indoor environment, we found an overall pattern of underestimation of depth that is typical for virtual environments and AR systems. However, in the outdoor environment, we found that subjects overestimated depth. In addition, our synthetic linear perspective cues met with a measure of success, leading users to reduce their estimate of the depth of distant objects. We describe the experimental procedure, analyze the data, present the results of the study, and discuss the implications for mobile, outdoor AR systems.
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