J4 ›› 2007, Vol. 29 ›› Issue (11): 110-113.
• 论文 • 上一篇 下一篇
王德超 涂亚庆
出版日期:
发布日期:
Online:
Published:
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)
王德超 涂亚庆. 基于改进粒子群优化算法的非线性摄像机标定[J]. J4, 2007, 29(11): 110-113.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://joces.nudt.edu.cn/CN/
http://joces.nudt.edu.cn/CN/Y2007/V29/I11/110