增强现实中的上下文响应标签

Thomas Köppel, E. Gröller, Hsiang-Yun Wu
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引用次数: 4

摘要

路线规划和导航是常见的任务,通常需要关于兴趣点的额外信息。增强现实(AR)使移动用户能够利用文本标签,以便在真实环境中提供与附加信息相关联的复合视图。尽管如此,在移动设备上显示所有感兴趣点的标签将导致信息之间不必要的重叠,因此需要一种上下文响应策略来适当地排列标签。该技术应该消除重叠,显示正确的细节水平,并保持标签的一致性。这是必要的,因为AR系统中的视角可能会因用户的行为而迅速变化。连贯性在保留用户体验和知识以及避免晕动病方面起着至关重要的作用。在本文中,我们开发了一种系统地管理标签可见性和细节级别的方法,以及消除意外的不连贯运动。我们介绍了三种标签管理策略,包括(1)遮挡管理,(2)细节级管理,(3)通过平衡手机屏幕的使用来实现一致性管理。提出了一种贪婪的方法来快速处理AR中的遮挡,采用细节级方案来排列各种类型的标签。然后建立三维场景操作,同时抑制视角变化引起的非相干行为。最后,我们通过一个综合和两个现实世界的场景,然后是定性的用户研究,提出了我们的方法的可行性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Context-Responsive Labeling in Augmented Reality
Route planning and navigation are common tasks that often require additional information on points of interest. Augmented Reality (AR) enables mobile users to utilize text labels, in order to provide a composite view associated with additional information in a real-world environment. Nonetheless, displaying all labels for points of interest on a mobile device will lead to unwanted overlaps between information, and thus a context-responsive strategy to properly arrange labels is expected. The technique should remove overlaps, show the right level-of-detail, and maintain label coherence. This is necessary as the viewing angle in an AR system may change rapidly due to users’ behaviors. Coherence plays an essential role in retaining user experience and knowledge, as well as avoiding motion sickness. In this paper, we develop an approach that systematically manages label visibility and levels-of-detail, as well as eliminates unexpected incoherent movement. We introduce three label management strategies, including (1) occlusion management, (2) level-of-detail management, and (3) coherence management by balancing the usage of the mobile phone screen. A greedy approach is developed for fast occlusion handling in AR. A level-of-detail scheme is adopted to arrange various types of labels. A 3D scene manipulation is then built to simultaneously suppress the incoherent behaviors induced by viewing angle changes. Finally, we present the feasibility and applicability of our approach through one synthetic and two real-world scenarios, followed by a qualitative user study.
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