首页> 外文期刊>Sensors Journal, IEEE >Characterization of Different Microsoft Kinect Sensor Models
【24h】

Characterization of Different Microsoft Kinect Sensor Models

机译:表征不同的Microsoft Kinect传感器模型

获取原文
获取原文并翻译 | 示例
           

摘要

This experimental study investigates the performance of three different models of the Microsoft Kinect sensor using the OpenNI driver from Primesense. The accuracy, repeatability, and resolution of the different Kinect models’ abilities to determine the distance to a planar target was explored. An ANOVA analysis was performed to determine if the model of the Kinect, the operating temperature, or their interaction were significant factors in the Kinect’s ability to determine the distance to the target. Different sized gauge blocks were also used to test how well a Kinect could reconstruct precise objects. Machinist blocks were used to examine how well the Kinect could reconstruct objects setup on an angle and determine the location of the center of a hole. All the Kinect models were able to determine the location of a target with a low standard deviation (<2 mm). At close distances, the resolutions of all the Kinect models were 1 mm. Through the ANOVA analysis, the best performing Kinect at close distances was the Kinect model 1414, and at farther distances was the Kinect model 1473. The internal temperature of the Kinect sensor had an effect on the distance reported by the sensor. Using different correction factors, the Kinect was able to determine the volume of a gauge block and the angles machinist blocks were setup at, with under a 10% error.
机译:这项实验研究使用Primesense的OpenNI驱动程序研究了Microsoft Kinect传感器的三种不同模型的性能。探索了不同Kinect模型确定到平面目标的距离的能力的准确性,可重复性和分辨率。进行了ANOVA分析,以确定Kinect的模型,工作温度或其相互作用是否是Kinect确定到目标​​距离的能力的重要因素。还使用了不同尺寸的量块来测试Kinect重建精密物体的能力。机械师块用于检查Kinect可以如何良好地重建某个角度上的对象设置并确定孔中心的位置。所有Kinect模型都能够确定标准偏差低(<2 mm)的目标的位置。在近距离处,所有Kinect模型的分辨率均为1 mm。通过ANOVA分析,近距离中性能最佳的Kinect是Kinect模型1414,而远距离处是Kinect模型1473。Kinect传感器的内部温度对传感器报告的距离有影响。使用不同的校正因子,Kinect能够确定量规块的体积,并设置夹角块,误差在10%以下。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号