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提出了一种快速高精度的摄像机主动视觉标定方法,建立了摄像机模型并详细分析了其各项参数的求解算法。标定时,令摄像机作一组二维的平移运动,采集圆孔靶标件的图像并计算圆心的像点坐标,同时记录摄像机的移动距离,得到标定所需的特征点。利用这些特征点计算摄像机标定参数,标定精度可达到0.005 mm。利用该方法定制的标定模块实现了摄像机的自动标定。该方法对摄像机运动的限制条件较少,并基本实现了摄像机模型参数的线性求解,为主动视觉系统的摄像机标定提供了一种有效的解决方案。
A fast and high precision camera active vision calibration method is proposed. The camera model is established and its algorithm for solving various parameters is analyzed in detail. When calibrating, the camera makes a set of two-dimensional translational movement, collects the image of the target of the round hole and calculates the coordinates of the center point of the circle, and records the moving distance of the camera to obtain the characteristic points required for calibration. Use these feature points to calculate the camera calibration parameters, calibration accuracy of up to 0.005 mm. Using this method customized calibration module to achieve the camera’s automatic calibration. This method has less restrictions on the camera motion and basically realizes the linear solution of the camera model parameters. It provides an effective solution to the camera calibration of the active vision system.