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Calibration of Diverse Tracking Systems to Enable Local Collaborative Mixed Reality Applications

机译:校准各种跟踪系统以实现本地协作混合现实应用

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Mixed reality (MR) devices offer advantages for a wide range of applications, e.g. simulation, communication or training purposes. Local multi user applications allow users to engage with virtual worlds collaboratively, while being in the same physical room. A shared coordinate system is necessary for this local collaboration. However, current mixed reality platforms do not offer a standardized way to calibrate multiple devices. Not all systems offer the required hardware that is used by available algorithms, either because the hardware is not available or not accessible by developers. We propose an algorithm that calibrates two devices using only their tracking data. More devices can be calibrated through repetition. Two MR devices are held together and moved around the room. Our trajectory-based algorithm provides reliable and precise results when compared to SiM or marker based algorithms. The accurate, but easy to use rotational calibration gesture can be executed effortlessly in a small space. The proposed method enables local multi user collaboration for all six degrees of freedom (DOF) MR devices.
机译:混合现实(MR)设备为多种应用提供了优势,例如模拟,交流或培训目的。本地多用户应用程序允许用户在同一物理空间中,共同参与虚拟世界。此本地协作需要共享的坐标系。但是,当前的混合现实平台没有提供校准多个设备的标准化方法。并非所有系统都提供可用算法使用的必需硬件,这是因为硬件不可用或开发人员无法访问。我们提出一种仅使用两个设备的跟踪数据来校准它们的算法。可以通过重复校准更多设备。两个MR设备固定在一起并在房间中移动。与基于SiM或基于标记的算法相比,基于轨迹的算法可提供可靠且精确的结果。准确但易于使用的旋转校准手势可以在很小的空间中轻松执行。所提出的方法使得能够针对所有六个自由度(DOF)MR设备进行本地多用户协作。

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