提出了一种基于直线特征的求解摄像机内外方位参数的方法。首先利用径向平行约束RAC求解大部分的外方位参数,包括旋转矩阵尺、平移分量纽和砂,然后再引入畸变模型求解内方位参数以及平移分量tz。该方法的特点是采用共面点标定物,利用直线特征约束进行标定,标定内外方位参数只需要一副图像就可以完成。实验结果表明,该方法是一种精度较高的、简单实用的摄像机标定方法。
An approach with linear feature for camera parameters calibration is proposed. Based on Radial-Array-Constraints (RAC), most extrinsic-parameters are solved, including R, tx, ty. And finally the interior-parameters and tz are computed by introducing a distortion model. All key parameters of the camera are derived through step-by-step decomposition algorithm. The characteristic of the method not only can apply Linear-Feature-Constrations and col-planar points, but also only need one picture can finish the calibration of interior-parameters txtrinsic-parameters. The outcome demonstrates that the method has a higher accuracy and is an effective simple calibration method.