基于遗传算法的摄像机标定

为提高摄像机标定的精度, 提出一种基于遗传算法的2D棋盘格摄像机标定方法。 通过对棋盘格图像的参考角点的提取, 计算参考点的图像坐标, 从而求解摄像机的内部参数及相应的外部参数初始估计值。并利用遗传算法对摄像机内参数进行优化, 通过一代代的进化、 选择、 变异, 最终收敛得到最优解。仿真结果表明, 该方法得到的平均投影误差为0.255 9像素, 标准差为0.139 3像素, 可有效地提高标定精度。

Camera Intrinsic Parameter Calibration Using Genetic Algorithms

We propose a method of camera calibration based on genetic algorithms to improve the accuracy of camera calibration. The method extracts cornersof chess board images and calculates the coordinates of the reference corners, then estimates intrinsic and external parameters of camera. Genetic algorithm is used to optimize the parameters extracted by the proposed method. Through evolution, selection and variation among generations, optimization is achieved by convergence. The result shows that the average projection deviation with the method is 0.255 9 pixel, and the standard deviation 0.139 3 pixel.