A new camera calibration method based on planar pattern is presented which is not same as the solution with other.In the proposed method,the optical centre is acquiesced to be the image centre,other initial parameters are solved with linear method and optimized separately and precisely in the non-linear model taking into consideration lens distortions.Experimental results on simulated data and real data show that the proposed method have parallel astringency,but better robustness in the noise environment and smaller reverse projection error.%提出的一种基于平面模板摄像机标定的新方法是先通过假设图像中心坐标为模型的成像中心,由摄像机线性模型求解中间变量然后分解独立的摄像机参数,并将求得的参数作为带畸变的非线性模型初始值进行优化求解,最终得到摄像机模型所有参数的精确值.通过仿真实验和真实实验对本方法与其他方法进行测试与比较,结果表明算法有相似的收敛性,在噪声环境中有更好鲁棒性,并且具有更小反投影误差.
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