标题:
基于改进遗传算法的单目相机标定Monocular Camera Calibration Based on an Improved Genetic Algorithm
作者:
张梦洋, 秦瑞康, 李福东, 杨月全
关键字:
单目相机, 相机标定, 角点提取, 遗传算法Monocular Camera, Camera Calibration, Corner Point Extraction, Genetic Algorithm
期刊名称:
《Artificial Intelligence and Robotics Research》, Vol.5 No.3, 2016-08-11
摘要:
针对张正友标定方法中相机内参数的求解可能陷入局部最优解的问题，考虑镜头的三阶径向畸变和二阶离心畸变，提出一种基于改进遗传算法的单目相机内参数优化标定方案。该方法可显著提高相机标定中内参数的精度，并能避免陷入局部最优。最后，实验验证了所提方案的有效性和可行性。
In the Zhang Zhengyou calibration method, the solution of the camera intrinsic parameters has the drawback of the possibility of falling into local optimal solution. Considering the third order radial distortion and second-order centrifugal distortion of the lens, a scheme based on an improved genetic algorithm is proposed to solve the intrinsic parameters of the monocular camera. The proposed method can significantly increase the precision of the intrinsic parameters and can avoid falling into local optimal solution. Finally, the experiments demonstrate the effectiveness and feasibility of the proposed method.