论文标题

评估和提高Windows V2 Kinect的深度精度

Evaluating and Improving the Depth Accuracy of Kinect for Windows v2

论文作者

Yang, Lin, Zhang, Longyu, Dong, Haiwei, Alelaiwi, Abdulhameed, Saddik, Abdulmotaleb El

论文摘要

自发布第一个版本以来,Microsoft Kinect传感器已在许多应用中广泛使用。最近,Microsoft发布了带有改进的硬件的新版本Kinect传感器。但是,传感器的准确性评估仍有待回答。在本文中,我们测量了新发布的Kinect V2深度传感器的深度精度,并获得锥体模型以说明其精度分布。然后,我们通过深度熵评估捕获的深度值的方差。此外,我们提出了一种三重方法,以同时使用多个Kinects提高深度精度。提供实验结果以确定所提出的模型和方法。

Microsoft Kinect sensor has been widely used in many applications since the launch of its first version. Recently, Microsoft released a new version of Kinect sensor with improved hardware. However, the accuracy assessment of the sensor remains to be answered. In this paper, we measure the depth accuracy of the newly released Kinect v2 depth sensor, and obtain a cone model to illustrate its accuracy distribution. We then evaluate the variance of the captured depth values by depth entropy. In addition, we propose a trilateration method to improve the depth accuracy with multiple Kinects simultaneously. The experimental results are provided to ascertain the proposed model and method.

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