Accuracy assessment of Kinect for Xbox One in point-based tracking applications

Accuracy assessment of Kinect for Xbox One in point-based tracking applications
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基于点的跟踪应用程序中 Kinect for Xbox One 的准确性评估

DOI:
10.1117/12.2228536
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发表时间:
2015
期刊:
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影响因子:
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通讯作者:
A. Skalski
A. Skalski
中科院分区:
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文献类型:
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作者:
Adrian Goral;A. Skalski

文献摘要

被引文献

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我们提出了基于Kinect V2的基于点的跟踪系统的准确性评估。在我们的方法中,颜色,IR和深度数据被用来确定球形标记的位置。为了完成这项任务,我们使用自定义方法校准了深度/红外和彩色相机。作为参考工具,我们使用北极星光谱光学跟踪系统。在0.9 ~ 2.9 m范围内的平均误差为61.6 mm,虽然深度分量的误差最大,但深度估计的随机误差平均仅为1.24 mm。我们基于Kinect的系统还允许在传感器光轴±20°范围内进行可靠的角度测量。
We present the accuracy assessment of a point-based tracking system built on Kinect v2. In our approach, color, IR and depth data were used to determine the positions of spherical markers. To accomplish this task, we calibrated the depth/infrared and color cameras using a custom method. As a reference tool we used Polaris Spectra optical tracking system. The mean error obtained within the range from 0.9 to 2.9 m was 61.6 mm. Although the depth component of the error turned out to be the largest, the random error of depth estimation was only 1.24 mm on average. Our Kinect-based system also allowed for reliable angular measurements within the range of ±20° from the sensor’s optical axis.