基于粒子群算法的双目立体视觉系统标定

摘要

摄像机标定是立体视觉系统研究的重要组成部分,针对双目立体视觉系统中摄像机标定这一多参数、复杂函数的优化问题,建立带有一阶径向畸变的摄像机模型,利用粒子群算法对模型中的参数进行优化处理,并同改进遗传算法的优化结果进行比较分析.实验结果表明该方法具有较高的精度,可满足工业机器视觉的要求.%Camera calibration is the important part of the stereo vision system study.A camera model with radial distortion is established for the camera calibration, that is a complex nonlinear multi-parameter function optimization problem of the binocular stereo vision system.At the same time,the Particle Swarm Optimization(PSO) algorithm is used to optimize the parameters, and then the genetic algorithm's result is compared.The experimental results show that the method has high accuracy, and can meet the requirements of industrial machine vision.