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Computer vision and sensor fusion for efficient hybrid tracking in augmented reality systems

机译：增强现实系统高效混合跟踪的计算机视觉和传感器融合

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Augmented Reality is one of the most fundamental enabling technologies of this era which modifies our perception to such an extent that we are able to see, hear and feel the ordinary everyday objects in a new and enriched way. This technology is an amalgamation of Real and Virtual Worlds which aims to enhance the physical information by exactly super-imposing the computer generated content on it. The technology can prove helpful to surgeons and doctors to visualize and train a surgery, can instruct a mechanic for repair of an unknown piece of equipment, can serve as a source of entertainment, can help soldiers for spotting enemy snipers, and can be used as an efficient teaching aid for education. A typical Augmented Reality (AR) system requires the integration of hardware and software with factors such as Tracking, Registration, Interaction and Display playing an important role in the system design. The focus of this paper is specifically towards surveying the available Tracking Techniques for various Augmented Reality applications. Based on the existing methods of sensor based, vision based and hybrid tracking, a new method for efficient tracking is proposed.
机译：增强现实是这个时代最基本的能力技术之一，这种技术改变了我们对这种程度的看法，我们能够以新的和丰富的方式听到，听到和感受普通的日常物体。这项技术是对真实和虚拟世界的融合，旨在通过完全超强计算机生成的内容来增强物理信息。该技术可以对外科医生和医生进行可视化和培训手术的帮助，可以指导机械师修理一块未知的设备，可以作为娱乐的来源，可以帮助士兵发现敌人的狙击手，可以用作教育有效的教学援助。典型的增强现实（AR）系统需要将硬件和软件集成，具有追踪，注册，交互和显示等因素在系统设计中发挥着重要作用。本文的重点是针对各种增强现实应用的可用跟踪技术进行了调查。基于现有的基于传感器的基于传感器，基于视觉和混合跟踪的方法，提出了一种有效跟踪的新方法。

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