基于圆形标志点的全自动相机标定方法

相机标定是2D图像重建3D测度信息的关键步骤,也是一项耗时的任务,由于标定过程中经常需要人工寻找对应点。本文提出了一种基于圆形标志点的全自动相机标定方法。首先,在传统圆形标志点模板的基础上增设了5个方位圆。然后提出了新标定板下图像特征点的自动检测和匹配算法。匹配结果直接作为Zhang的算法的输入,从而计算出相机内外参数,避免了标定过程的人工干预。最终实验结果显示了所提方法在不同场景和光照条件下的自动性和正确性。

Camera calibration is a critical process to acquire 3D metric information from 2D images, and is a time consuming step because the first step of finding correspondences is often performed manually. In this paper a new calibration method is presented, which allows a camera to be calibrated fully automatically. In this method, five big circles are added to the common circle pattern and calibration is carried out by aiming to the modified planar circle pattern and simply taking images. This system can robustly find correspondences and provide the input to the Zhang′s coplanar calibration algorithm. Experiments show that this system is robust for pattern images under uneven illumination or in different scenes.