基于改进粒子群优化算法的非线性摄像机标定  

Non-Linear Camera Calibration Based on an Improved PSO Algorithm

作　　者：王德超[1] 涂亚庆[1] 

机构地区：[1]后勤工程学院信息工程系,重庆400016

出　　处：《计算机工程与科学》2007年第11期110-113,共4页Computer Engineering & Science

摘　　要：本文针对传统优化算法在摄像机标定中存在对初始值敏感、收敛性差、易陷入局部最优等缺点,研究了粒子群优化算法在非线性摄像机标定中的应用,给出了利用改进粒子群优化算法进行摄像机参数标定的具体步骤。标定实验表明,基于该算法的摄像机标定方法可以克服传统算法的不足,是一种有效的标定方法。Due to the drawbacks of the traditional optimization algorithms in camera calibration, which include initial-value sensitiveness,poor convergence and local-optima inclination, we study the application of an improved PSO algorithm in non-linear camera calibration. We also give the calculation procedures of this method for non-linear camera calibration. Calibration experiments show that this method can overcome the defects mentioned and is effective in calibration.

关 键 词：非线性 摄像机标定 粒子群优化算法 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]