• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (11): 110-113.

• 论文 • 上一篇    下一篇

基于改进粒子群优化算法的非线性摄像机标定

王德超 涂亚庆   

  • 出版日期:2007-11-01 发布日期:2010-05-30

  • Online:2007-11-01 Published:2010-05-30

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。

关键词: 非线性 摄像机标定 粒子群优化算法

Abstract:

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 procedure
  s of this method for non-linear camera calibration. Calibration experiments show that this method can overcome the defects mentioned and is effective in calibration

Key words:  (non-linear, camera calibration;imoroved PSO algorithm)