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Displacement detection method of QR code reference object based on computer vision

机译:基于计算机视觉的QR码引用对象的位移检测方法

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摘要

In order to realize the concrete quality monitoring, the displacement detection method based on computer vision is adopted by adding the identification label to the concrete specimen. The traditional camera calibration methods often need to make standard checkerboard to calculate the camera parameters. If users use different mobile phones to shoot the same scene, it is impossible to calibrate each mobile camera in advance. Therefore, aiming at the problem that the traditional camera calibration method can't meet the needs of some application scenarios, this paper proposes a method to calibrate the camera by extracting a small number of feature points in the image. Experimental data show that the method can calibrate the camera accurately, and then calculate the reference moving distance according to the basic principle of computer vision, and it has good flexibility.
机译:为了实现具体的质量监测,通过将识别标签添加到混凝土试样中采用基于计算机视觉的位移检测方法。 传统的相机校准方法通常需要制作标准棋盘以计算相机参数。 如果用户使用不同的移动电话拍摄相同的场景,则无法提前校准每个移动摄像头。 因此,针对传统的相机校准方法无法满足某些应用场景的需求的问题,提出了一种通过提取图像中的少量特征点来校准相机的方法。 实验数据表明,该方法可以准确地校准相机,然后根据计算机视觉的基本原理计算参考移动距离,它具有良好的灵活性。

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