基于鲸鱼优化算法的相机标定方法研究  

Research on Camera Calibration Method Based on Whale Optimization Algorithm

作　　者：李百峰 杨建柏 

机构地区：[1]哈尔滨师范大学计算机科学与信息工程学院,黑龙江 哈尔滨

出　　处：《计算机科学与应用》2024年第11期141-148,共8页Computer Science and Application

摘　　要：相机标定是视觉测量中的关键步骤,其目的是确定相机的内外参数,以提高图像处理的精度和可靠性。为解决传统相机标定中标定精度低、鲁棒性弱等一系列问题,提出了基于鲸鱼优化算法的相机标定方法,本方法结合鲸鱼优化算法的全局搜索能力,优化相机参数。在实验中,首先通过张正友标定法获取相机的初始参数。随后,使用鲸鱼优化算法在全局范围内对标定参数进行优化,以最小化重投影误差。实验结果表明,基于鲸鱼优化算法的标定方法相比传统方法具有更高的精度和更强的鲁棒性。Camera calibration is a critical step in vision measurement, the purpose of which is to determine the internal and external parameters of the camera to improve the accuracy and reliability of image processing. In order to solve a series of problems such as low calibration accuracy and weak robustness in traditional camera calibration, a camera calibration method based on whale optimization algorithm was proposed, which combined with the global search ability of whale optimization algorithm to optimize camera parameters. In the experiment, the initial parameters of the camera were obtained by Zhang Zhengyou’s calibration method. Subsequently, the whale optimization algorithm was used to optimize the calibrated parameters on a global scale to minimize the reprojection error. Experimental results show that the calibration method based on whale optimization algorithm has higher accuracy and stronger robustness than the traditional method.

关 键 词：视觉测量 相机标定 鲸鱼优化算法 重投影误差 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]