摘要
提出了基于圆心共线约束的鱼眼镜头径向畸变估计方法。拍摄单幅至少包含空间二组平行直线的标定图像。在单参数除法径向畸变模型下,空间平行直线被映射为畸变图像上的一组圆弧。通过推导发现由同一组平行直线投影得到的圆弧会相交于二个公共交点,因而它们的圆心具有共线性质。在拟合圆弧参数时利用圆心共线性质,能够达到精确求解的目的。提出了基于圆心共线圆弧的单参数除法模型参数的求解方法,并进一步提出了圆心共线圆弧的非线性优化拟合方法。仿真和真实图像的实验结果都表明,相比传统方法,所提出的方法鲁棒性强,能有效提高标定的精度。
A method of calibrating radial distortion for fish-eye lens based on collinear constraint is proposed. The method only needs a single image which contains at least two sets of parallel lines in 3D world. Under single parameter division model, these lines are imaged as circular arcs in the distorted image. These circular arcs imaged from the same set of parallel lines will intersect at two common points, and thus their centers are collinear. Under this constraint, the calculation of parameters of the single parameter division model is then proposed, which can be solved by using the Levenberg-Marquardt algorithm effectively. Experimental results of both synthetic and real images show that the proposed method is simple, robust and accurate.
出处
《光电工程》
CAS
CSCD
北大核心
2014年第11期36-43,共8页
Opto-Electronic Engineering
基金
浙江省自然科学基金项目(LY12F01019)
国家自然科学基金面上项目(61271339)
关键词
鱼眼镜头
除法模型
径向畸变
圆弧拟合
失真校正
fisheye lens
division model
radial distortion
arc fitting
distortion correction
