摘要
本文针对摄像机成像误差问题，首先提出了一种新的径向畸变模型，利用此模型推出了能精确标定摄像机的关键参数（有效焦距、平移矢量的Ｚ向分量以及径向畸变系数）的线性算法；同时提出了一种成像系统误差的修正模型，并利用系统辨识方法正确估计了该模型的各参数；并进行了实验验证．这项研究必将使得摄像机成像的误差整体降低。
A new error correction method for camera calibration is described. Firstly, a new radial lens distortion model is proposed, and a linear algorithm for calibrating the effective focal length, radial distortion coefficient and Z component of the translation vector is given . Secondly, a camera system error model is put forward, and all coefficients are computed accurately by using system identification theory, and the test result is reported. The total error of camera will be reduced, thus the measurement accuracy is raised.
出处
《机器人》
EI
CSCD
北大核心
1999年第4期266-271,共6页
Robot
基金
国家自然科学基金
关键词
摄像机标定
成像误差
修正
计算机视觉
Camera calibration
lens distortion
camera error correction
