X-Vision: An Augmented Vision Tool with Real-Time Sensing Ability in Tagged Environments

Yongbin Sun, S. N. Kantareddy, R. Bhattacharyya, S. Sarma
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引用次数: 7

Abstract

We present the concept of X-Vision, an enhanced Augmented Reality (AR)-based visualization tool, with the realtime sensing capability in a tagged environment. We envision that this type of a tool will enhance the user-environment interaction and improve the productivity in factories, smartspaces, home & office environments, maintenance/facility rooms and operation theatres, etc. In this paper, we describe the design of this visualization system built upon combining the object's pose information estimated by the depth camera and the object's ID & physical attributes captured by the RFID tags. We built a physical prototype of the system demonstrating the projection of 3D holograms of the objects encoded with sensed information like water-level and temperature of common office/household objects. The paper also discusses the quality metrics used to compare the pose estimation algorithms for robust reconstruction of the object's 3D data.
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X-Vision:在标记环境中具有实时传感能力的增强视觉工具
我们提出了X-Vision的概念,这是一种基于增强现实(AR)的可视化工具,具有在标记环境中的实时传感能力。我们设想这种类型的工具将增强用户与环境的交互,并提高工厂、智能空间、家庭和办公环境、维护/设施室和手术室等的生产力。在本文中,我们描述了该可视化系统的设计,该系统将深度相机估计的物体姿态信息与RFID标签捕获的物体ID和物理属性相结合。我们建立了一个系统的物理原型,展示了物体的3D全息投影,这些物体被编码为普通办公室/家庭物品的水位和温度等感知信息。本文还讨论了用于比较姿态估计算法的质量指标,以实现目标三维数据的鲁棒重建。
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