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Improving static and dynamic registration in an optical see-through HMD

机译:改善光学透明HMD中的静态和动态配准

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摘要

In Augmented Reality, see-through HMDs superimpose virtual 3D objects on the real world. This technology has the potential to enhance a user's perception and interaction with the real world. However, many Augmented Reality applications will not be accepted until we can accurately register virtual objects with their real counterparts. In previous systems, such registration was achieved only from a limited range of viewpoints, when the user kept his head still. This paper offers improved registration in two areas. First, our system demonstrates accurate static registration across a wide variety of viewing angles and positions. An optoelectronic tracker provides the required range and accuracy. Three calibration steps determine the viewing parameters. Second, dynamic errors that occur when the user moves his head are reduced by predicting future head locations. Inertial sensors mounted on the HMD aid head-motion prediction. Accurate determination of prediction distances requires low-overhead operating systems and eliminating unpredictable sources of latency. On average, prediction with inertial sensors produces errors 2-3 times lower than prediction without inertial sensors and 5-10 times lower than using no prediction at all. Future steps that may further improve registration are outlined.

机译:

在增强现实中,透视HMD将虚拟3D对象叠加在现实世界上。该技术具有增强用户对现实世界的感知和互动的潜力。但是,直到我们可以将虚拟对象准确地注册到它们的真实副本中后,许多增强现实应用程序才会被接受。在以前的系统中,当用户保持头部静止时,仅从有限的范围内实现了这种配准。本文在两个方面提供了改进的注册。首先,我们的系统演示了在各种视角和位置上的精确静态配准。光电跟踪器可提供所需的范围和精度。三个校准步骤确定查看参数。其次,通过预测未来的头部位置,可以减少用户移动头部时发生的动态错误。安装在HMD上的惯性传感器有助于头部运动预测。准确确定预测距离需要低开销的操作系统,并消除无法预测的延迟源。平均而言,使用惯性传感器进行预测所产生的误差比没有使用惯性传感器进行预测的误差低2-3倍,比完全不使用预测的误差低5-10倍。概述了可能进一步改善注册的未来步骤。

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