利用粒子滤波提高二维标记跟踪精度

Yuko Uematsu, H. Saito
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引用次数: 32

摘要

本文提出了一种利用二维标记提高基于标记的增强现实跟踪精度的方法。我们重点研究了当摄像机的观察方向几乎垂直于一个标记平面时,跟踪变得不稳定。特别是,垂直于标记平面(X-Y)的Z轴的跟踪变得不稳定。为了提高这种情况下的跟踪精度,我们在粒子滤波的基础上搜索最适合投影模式的旋转参数。然后,通过粒子滤波技术,我们的方法可以正确估计相机的旋转参数,这些参数对三维坐标系的跟踪很重要,提高了三维坐标系的精度。该方法可以减少帧之间的抖动,这是AR中的一个大问题。在实验中,我们证明了与仅使用ARToolkit相比,我们的方法可以提高3D坐标系的跟踪精度。
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Improvement of Accuracy for 2D Marker-Based Tracking Using Particle Filter
This paper presents a method for improving accuracy of marker-based tracking using a 2D marker for augmented reality. We focus on that tracking becomes unstable when the view direction of the camera is almost perpendicular to a marker plane. Especially, tracking of Z axis which is perpendicular to the marker plane (X-Y) becomes unstable. For improving tracking accuracy in this case, we search rotation parameters that are the fittest to projected pattern based on the particle filter. By using particle filtering technique, then, our method can correctly estimate rotation parameters of the camera which are important to track the 3D coordinate system and improve the accuracy of the 3D coordinate system. This method can reduce jitters between frames, which is a big problem in AR. In the experiment, we demonstrate that our method can improve the tracking accuracy of the 3D coordinate system compared with just using ARToolkit.
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