中国光学（中英文）2025，Vol.18Issue(1)：89-104,16.DOI:10.37188/CO.2024-0118
改进AO优化算法的折反射全景镜头畸变参数估计
Improved AO optimization algorithm for distortion parameter estimation of catadioptric omnidirectional lens
摘要
Abstract
Aiming at the problems of low accuracy and easy to fall into local optimal solutions of the exist-ing lens distortion parameter estimation methods,a catadioptric omnidirectional camera lens distortion para-meter method based on the improved Aquila Optimization(AO)algorithm is proposed.Firstly,the optimiza-tion ability of the AO algorithm is enhanced by integrating chaotic mapping,adaptive adjustment strategy,and population optimization strategy,which solves the problems of slow convergence speed and proneness to falling into local optimal solutions.Secondly,the distribution range of distortion parameters is derived and determined by the corresponding distortion edges of straight lines in the space and the single parameter divi-sion model.Then,the optimization objective function containing the distortion parameters is constructed.Fi-nally,the improved AO algorithm is used to find the best distortion parameters for the optimization objective function.After analyzing the correction results of standard gallery images and omnidirectional images,the method proposed in this paper estimates the main point error within 0.5 pixels and the radial aberration coef-ficient error within 2.5％.It can effectively estimate the lens aberration parameters and realize the omnidirec-tional image aberration correction.It improves the visual navigation system's image quality under the task of environment perception and is valuable in engineering applications.关键词
折反射全景相机/天鹰优化算法/混沌映射/直线特征/畸变校正Key words
catadioptric omnidirectional camera/Aquila optimization algorithm/chaos map/linear features/distortion correction分类
信息技术与安全科学引用本文复制引用
张越,张宁,徐熙平..改进AO优化算法的折反射全景镜头畸变参数估计[J].中国光学（中英文）,2025,18(1):89-104,16.基金项目
吉林省科技厅重点研发项目(产业关键核心技术攻关项目)(No.20210201029GX)Supported by Jilin Provincial Science and Technology Department Key R&D Projects(Industrial Key Core Technology Research Projects)(No.20210201029GX) （产业关键核心技术攻关项目）
