Model-based visual tracking for outdoor augmented reality applications

R. Behringer, Jun Park, V. Sundareswaran
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引用次数: 49

Abstract

Outdoor augmented reality (AR) applications rely on hybrid tracking (GPS, digital compass, visual) for registration. RSC has developed a real-time visual tracking system that uses visual cues of buildings in an urban environment for correcting the results of a conventional tracking system. This approach relies on knowledge of a CAD model of the building. It not only provides motion estimation, but also absolute orientation/position. It is based on the "visual servoing" approach, originally developed for robotics tasks. We have demonstrated this approach in real-time at a building on the NRL campus This poster shows the approach and results. The concept can be generalized to any scenario where a CAD model is available. This system is being prepared for integration into the NRL system BARS (Battlefield Augmented Reality System).
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户外增强现实应用的基于模型的视觉跟踪
户外增强现实(AR)应用程序依赖于混合跟踪(GPS,数字指南针,视觉)进行注册。RSC开发了一种实时视觉跟踪系统,该系统利用城市环境中建筑物的视觉线索来纠正传统跟踪系统的结果。这种方法依赖于建筑物的CAD模型知识。它不仅提供运动估计,还提供绝对方向/位置。它基于“视觉伺服”方法,最初是为机器人任务开发的。我们在NRL校园的一栋建筑中实时演示了这种方法。这张海报展示了这种方法和结果。这个概念可以推广到任何可以使用CAD模型的场景。该系统正准备集成到NRL系统BARS(战场增强现实系统)中。
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