Department of Geomatics Engineering, University of Calgary, 2500 University Drive N.W., Calgary, Alberta T2N 1N4, Canada.
Department of Civil Engineering, University of Calgary, 2500 University Drive N.W., Calgary, Alberta T2N 1N4, Canada.
Sensors (Basel). 2014 Feb 19;14(2):3293-307. doi: 10.3390/s140203293.
The Microsoft Kinect is arguably the most popular RGB-D camera currently on the market, partially due to its low cost. It offers many advantages for the measurement of dynamic phenomena since it can directly measure three-dimensional coordinates of objects at video frame rate using a single sensor. This paper presents the results of an investigation into the development of a Microsoft Kinect-based system for measuring the deflection of reinforced concrete beams subjected to cyclic loads. New segmentation methods for object extraction from the Kinect's depth imagery and vertical displacement reconstruction algorithms have been developed and implemented to reconstruct the time-dependent displacement of concrete beams tested in laboratory conditions. The results demonstrate that the amplitude and frequency of the vertical displacements can be reconstructed with submillimetre and milliHz-level precision and accuracy, respectively.
微软 Kinect 可以说是目前市场上最受欢迎的 RGB-D 相机之一,部分原因是其成本低廉。它为动态现象的测量提供了许多优势,因为它可以使用单个传感器直接以视频帧率测量物体的三维坐标。本文介绍了一种基于微软 Kinect 的系统的开发结果,该系统用于测量在循环荷载作用下的钢筋混凝土梁的挠度。已经开发和实现了新的对象提取方法,用于从 Kinect 的深度图像中提取对象,并开发了垂直位移重建算法,以重建在实验室条件下测试的混凝土梁的时变位移。结果表明,垂直位移的幅度和频率可以分别以亚毫米和毫赫兹级的精度和准确性进行重建。