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Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence
arXiv - CS - Computers and Society Pub Date : 2021-06-16 , DOI: arxiv-2106.08710
Jacky Cao, Kit-Yung Lam, Lik-Hang Lee, Xiaoli Liu, Pan Hui, Xiang Su

Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and head-worn wearables, and performs seamless transitions from the physical world to a mixed world with digital entities. These MAR systems support user experiences by using MAR devices to provide universal accessibility to digital contents. Over the past 20 years, a number of MAR systems have been developed, however, the studies and design of MAR frameworks have not yet been systematically reviewed from the perspective of user-centric design. This article presents the first effort of surveying existing MAR frameworks (count: 37) and further discusses the latest studies on MAR through a top-down approach: 1) MAR applications; 2) MAR visualisation techniques adaptive to user mobility and contexts; 3) systematic evaluation of MAR frameworks including supported platforms and corresponding features such as tracking, feature extraction plus sensing capabilities; and 4) underlying machine learning approaches supporting intelligent operations within MAR systems. Finally, we summarise the development of emerging research fields, current state-of-the-art, and discuss the important open challenges and possible theoretical and technical directions. This survey aims to benefit both researchers and MAR system developers alike.

中文翻译:

移动增强现实:用户界面、框架和智能

移动增强现实 (MAR) 将计算机生成的虚拟对象与移动设备的物理环境集成在一起。MAR 系统使用户能够与 MAR 设备(例如智能手机和头戴式可穿戴设备)进行交互,并执行从物理世界到具有数字实体的混合世界的无缝过渡。这些 MAR 系统通过使用 MAR 设备提供对数字内容的普遍可访问性来支持用户体验。近20年来,已经开发了许多MAR系统,但是,尚未从以用户为中心的设计角度系统地回顾MAR框架的研究和设计。本文首先介绍了对现有 MAR 框架(数量:37)的调查,并通过自上而下的方法进一步讨论了 MAR 的最新研究:1)MAR 应用;2)适应用户移动性和上下文的MAR可视化技术;3) MAR 框架的系统评估,包括支持的平台和相应的功能,如跟踪、特征提取和传感能力;4) 支持 MAR 系统内智能操作的底层机器学习方法。最后,我们总结了新兴研究领域的发展、当前的最新技术,并讨论了重要的开放挑战和可能的理论和技术方向。这项调查旨在使研究人员和 MAR 系统开发人员都受益。4) 支持 MAR 系统内智能操作的底层机器学习方法。最后,我们总结了新兴研究领域的发展、当前的最新技术,并讨论了重要的开放挑战和可能的理论和技术方向。这项调查旨在使研究人员和 MAR 系统开发人员都受益。4) 支持 MAR 系统内智能操作的底层机器学习方法。最后,我们总结了新兴研究领域的发展、当前的最新技术,并讨论了重要的开放挑战和可能的理论和技术方向。这项调查旨在使研究人员和 MAR 系统开发人员都受益。
更新日期:2021-06-17
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