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Rapid Calibration Method for 3D Laser Scanner

机译:3D激光扫描仪的快速校准方法

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Background: The 3D laser scanner is a non-contact active-sensing system, which has anumber of applications. Many patents have been filed on the technologies for calibrating 3D laserscanner. A precise calibration method is important for measuring the accuracy of the 3D laser scanner.The system model contains three categories of parameters to be calibrated which include thecamera intrinsic parameters, distortion coefficients and the light plane parameters. Typically, thecalibration process is completed in two steps. Based on Zhang’s method, the calibration of the cameraintrinsic parameters and distortion coefficients can be performed. Then, 3D feature points on thelight plane should precisely be formed and extracted. Finally, the points are used to calculate thelight plane parameters.Methods: In this paper, a rapid calibration method is presented. Without any high precision auxiliarydevice, only one coplanar reference target is used. By using a group of captured images of thecoplanar reference target placed in the field of view arbitrarily, calibration can be performed in onestep. Based on the constraint from the planes formed by the target in different directions and thecamera imaging model, a large amount of 3D points on the light plane can easily be obtained. Thelight plane equation in the camera coordinates system can be gathered by executing plane fitting tothe 3D points.Results: During the experimental process, the developed 3D laser scanner was calibrated by theproposed method. Then, the measuring accuracy of the system was verified with known distance invertical direction of 1mm with sequential shifting motion generated by precision translation stage.The average value of the measured distances was found to be 1.010mm. The standard deviation was0.008mm.Conclusion: Experimental results prove that the proposed calibration method is simple and reliable.
机译:背景:3D激光扫描仪是一种非接触式主动传感系统,其具有数量的应用。校准3D Laserscanner的技术提交了许多专利。精确的校准方法对于测量3D激光扫描仪的准确性很重要。系统模型包含要校准的三类参数,包括Theca区域内部参数,失真系数和光平面参数。通常,Thecalibration过程分两步完成。基于张的方法,可以执行摄像机参数和失真系数的校准。然后,应精确地形成和提取大学平面上的3D特征点。最后,该点用于计算大学平面参数。方法:本文提出了一种快速校准方法。没有任何高精度辅助设备,只使用一个共面条参考目标。通过使用任意查看在视野中的捕获图像的一组捕获的图像,可以在询问中执行校准。基于由靶在不同方向和Thecamera成像模型形成的面部形成的平面的限制,可以容易地获得光平面上的大量3D点。 Charach平面方程在相机坐标系统中可以通过执行平面拟合来收集3D点。结果:在实验过程中,通过伪造的方法校准了所开发的3D激光扫描仪。然后,用1mm的已知距离垂直方向验证了系统的测量精度,具有通过精确的翻译阶段产生的顺序移位运动。发现测量距离的平均值为1.010mm。标准偏差为0.008mm.Conclusion:实验结果证明,所提出的校准方法简单可靠。

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