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R、平移分量tx和ty,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。 A method based on line features to solve the camera internal and external azimuth parameters is proposed. First of all, we use radial parallel constrained RAC to solve most of the extrinsic orientation parameters, including the rotation matrix R, the translation components tx and ty, and then the distortion model to solve the in-azimuth parameters and the translation component tz. The method is characterized by the use of coplanar point calibration material, the use of linear feature constraints calibration, calibration of internal and external orientation parameters only one image can be completed. The experimental results show that this method is a simple and practical method for camera calibration.