OverLay:实用的移动增强现实

Puneet Jain, Justin Manweiler, Romit Roy Choudhury
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引用次数: 133

摘要

增强现实的概念——通过摄像头观察物理对象并查看有关该对象的注释的能力——当然并不新鲜。然而,这个明显可行的愿景还没有具体化成一个精确、快速、全面可用的系统。本文提出了这样一个问题:在今天的智能手机上实现增强现实(AR)需要什么?为了构建一个即用型移动AR系统,我们采用了一种自上而下的方法,跨越智能手机传感、计算机视觉、云卸载和线性优化。我们的核心贡献是一种新颖的、不受位置限制的环境几何表示——来自智能手机传感器——并利用这种几何形状来精简视觉搜索空间。成功的度量标准包括对象识别的准确性和延迟,以及在非受控环境中的易用性和可伸缩性。我们的融合系统OverLay目前部署在工程建筑中,并向普通公众开放使用;正在进行的工作重点是在校园范围内部署,作为UIUC的“历史导游”。至少可以这么说,到目前为止,性能结果和用户反应都很有希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OverLay: Practical Mobile Augmented Reality
The idea of augmented reality - the ability to look at a physical object through a camera and view annotations about the object - is certainly not new. Yet, this apparently feasible vision has not yet materialized into a precise, fast, and comprehensively usable system. This paper asks: What does it take to enable augmented reality (AR) on smartphones today? To build a ready-to-use mobile AR system, we adopt a top-down approach cutting across smartphone sensing, computer vision, cloud offloading, and linear optimization. Our core contribution is in a novel location-free geometric representation of the environment - from smartphone sensors - and using this geometry to prune down the visual search space. Metrics of success include both accuracy and latency of object identification, coupled with the ease of use and scalability in uncontrolled environments. Our converged system, OverLay, is currently deployed in the engineering building and open for use to regular public; ongoing work is focussed on campus-wide deployment to serve as a "historical tour guide" of UIUC. Performance results and user responses thus far have been promising, to say the least.
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