【摘要】 提出了一种快速有效的基于径向约束的两步算法。该算法综合了线性模型和非线性模型的优点,在求解摄像机参数的过程中,采用线性模型标定摄像机中的一部分参数,进一步考虑非线性畸变,通过条件化简将非线性方程转化成线性方程求解其余摄像机参数,有效避免了直接求解非线性方程带来的计算繁琐和结果不稳定的缺陷。最后对标定结果采取最优化算法求精。实验结果表明,优化后的两步算法提高了摄像机标定的效率和准确性。更多还原

【Abstract】 An advanced two-stage algorithm based on restriction restriction is described for camera calibration.This algorithm combines the advantages of both linear and nonlinear calibration,which calibrates parts of the internal parameters of camera first and then figures out the other parameters subsequently with the consideration of nonlinear aberrances.The nonlinear equation systems for the case of nonlinear aberrances can be changed into linear equation systems by ignoring some insignificant terms,which avoids the complications and instability of nonlinear equation system computation.Additionally,optimization computation is carried out to make the calibration results more accurate for approximate calculation.Efficiency and accuracy of camera calibration are improved by the proposed algorithm improves.更多还原