计算机工程与应用2011，Vol.47Issue(24)：202-204,210,4.DOI:10.3778/j.issn.1002-8331.2011.24.057
基于粒子群算法的双目立体视觉系统标定
Camera calibration of stereo vision system based on PSO
廉小磊 1贺利乐 1张颖1
作者信息
- 1. 西安建筑科技大学机电学院,西安710055
- 折叠
摘要
Abstract
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.关键词
立体视觉/摄像机标定/粒子群算法/畸变模型Key words
stereo vision/camera calibration/Particle Swarm Optimization(PSO)/distortion model分类
计算机与自动化引用本文复制引用
廉小磊,贺利乐,张颖..基于粒子群算法的双目立体视觉系统标定[J].计算机工程与应用,2011,47(24):202-204,210,4.
