Then, it used second order polynomial to fit the Central Line of text line, and constructed the object function of lens distortion.
然后利用二次多项式模型拟合文本行的中心线,并建立径向失真校正的目标函数。
In this paper, measurement variance of the system is obtained with second order polynomial data fitling based on actual variance data of wheel speed signals.
在假定系统方程和过程方差的情况下,轮速信号的处理采用了卡尔曼滤波器的结构。
In this case, a method based on two -dimension second - order polynomial is proposed to fit and remove the brightness value of background.
针对这种情况,提出了基于二维二阶多项式拟合并去除不均匀背景的方法。
应用推荐