吉林大学学报（信息科学版）2013，Vol.31Issue(4)：432-436,5.
基于遗传算法的摄像机标定
Camera Intrinsic Parameter Calibration Using Genetic Algorithms
任贝 1韩飞 1吴坚1
作者信息
- 1. 吉林大学汽车动态仿真与控制国家重点实验室,长春130022
- 折叠
摘要
Abstract
We propose a method of camera calibration based on genetic algorithms to improve the accuracy of camera calibration.The method extracts corners of 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 oixel,and the standard deviation 0.139 3 pixel.关键词
摄像机标定/角点提取/遗传算法Key words
camera calibration/ corner point extraction/ genetic algorithms分类
信息技术与安全科学引用本文复制引用
任贝,韩飞,吴坚..基于遗传算法的摄像机标定[J].吉林大学学报（信息科学版）,2013,31(4):432-436,5.
