摘要
图像测量系统标定是计算机视觉获取三维信息的前提和基础。为了进一步提高标定精度和速度,提出了一种新的基于投影变换标定法。首先,构造模版图像,将该图像经投影变换得到无畸变图像,然后,将其与由原始图像经消除畸变后所得的无畸变图像进行对比,通过差值来确定畸变模型系数。在求出畸变模型的基础上,再求解其他相机参数。该方法迴避了传统方法繁多的迭代步骤,避免了由于初始参数的估计不准所产生的误差,具有直观、精确和相对快速等优点。并通过实验仿真,验证了该算法的可行性与准确性。
The calibration of image measurement system is the basis and prerequisite of acquiring 3D information adopting computer vision technology. A new technique for improving the accurary and speed of image measurement system calibration based on perspective transform method is presented. This technique utilizes the difference between the image processed by using perspective transform with distortion and the constructed simulation nodistortion image to ascertain the coefficient of distortion models. Then on the basis of distortion models continue to figure out other camera parameters. This technique evades the iterate method adopted by the traditional methods, and avoid the errors brought by the estimation of original parameters. It is fast, straightforward, accurate, effective and with practical.
出处
《传感器与微系统》
CSCD
北大核心
2006年第3期77-80,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(60372073)
关键词
图像测量系统标定
投影变换
机器视觉
calibration of image measurement system
perspective transform
computer vision