使用线笔基准的光学跟踪

A. V. Rhijn, J. D. Mulder
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引用次数: 12

摘要

本文提出了一种新的基于模式的光学跟踪方法,用于虚拟或增强现实环境中输入设备的识别和姿态估计。该方法基于线基准的铅笔,减少了遮挡问题,并允许单相机模式识别和方向估计。模式识别是利用线铅笔的射影不变性:交叉比率完成的。方向由单个摄像机的线平面对应得到,位置估计由多个摄像机实现。根据相关的基于点的跟踪方法对该方法进行评估。结果表明,该方法具有较低的延迟和相当的精度,并且对遮挡的敏感性较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optical Tracking using Line Pencil Fiducials
In this paper, a new pattern based optical tracking method is presented for the recognition and pose estimation of input devices for virtual or augmented reality environments. The method is based on pencils of linefiducials, which reduces occlusion problems and allows for single camera pattern recognition and orientation estimation. Pattern recognition is accomplished using a projective invariant property of line pencils: the cross ratio. Orientation is derived from single camera line-plane correspondences, and position estimation is achieved using multiple cameras. The method is evaluated against a related point based tracking approach. Results show our method has lower latency and comparable accuracy, and is less sensitive to occlusion.
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