基于实时摄像机跟踪的远程ar系统

Yanke Wang, Fan Zhong, C. Li, Hui Xiang, Qunsheng Peng, Xueying Qin
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引用次数: 3

摘要

我们提出了一种视觉远程AR系统,它是远程存在和AR技术的结合。通过佩戴可视的头戴式显示器并移动头部,该系统中的用户可以远程操作一个远程倾斜平台来观察远程场景。与传统远程存在系统使用机械或磁性传感器进行远程操作不同,本文提出了一种基于主从摄像机实时跟踪的远程操作方法。主摄像头是安装在用户眼前的可视头戴式显示器的一个组件,从摄像头由远程平台携带。我们通过实时跟踪主摄像机来估计使用者的头部运动,并将头部运动转化为运动命令来驱动远程平移平台。理想情况下,远程平台的运动将与用户的头部完全相同。不幸的是,从平台的运动速度通常受到其机械能力的限制,这可能导致主相机和从相机之间的姿势不一致,特别是当用户头部快速移动时。我们还通过实时跟踪从摄像机,并根据主摄像机和从摄像机姿态的差异对视频图像进行扭曲来解决这个问题。通过跟踪从摄像机,我们可以将虚拟物体整合到远程场景中,增强用户的视觉感受。为了减少系统延迟,我们的实现是加速GPU并行计算。实验结果表明了该方法的有效性和鲁棒性。
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Tele-AR System Based on Real-time Camera Tracking
We propose a visual tele-AR system, which is a combination of tele-existence and AR techniques. By wearing a video see-through HMD and moving his head, a user in this system is able to tele-operate a remote pan-tilt platform to observe the remote scene. Unlike traditional tele-existence systems which use mechanical or magnetic sensors for tele-operation, we propose a novel tele-operation method based on real-time tracking of master and slave cameras. The master camera is a component of the video see-through HMD mounted in front of user's eyes, while the slave camera is carried by a remote platform. We estimate use's head motion by tracking the master camera in real time, and translate head motions into motion commands to drive the remote pan-tilt platform. Ideally, motion of the remote platform will be exactly the same as user's head. Unfortunately, motion speed of the slave platform is usually limited by their mechanical capability, which may cause pose inconsistence between master and slave cameras, especially when user's head moves fast. We solve this problem by also tracking slave camera in real time, and warping video images according to difference between master and slave camera pose. Since slave camera is tracked, we can integrate virtual objects into remote scene, giving the user an augmented visual sense. To reduce system delay, our implementation is accelerated GPU parallel computation. Experimental results show the efficiency and robustness of our method.
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