摄像机标定中总体最小二乘法抗噪性的研究  

The research on camera calibration of total least squares method for noise immunity

作　　者：邰晶 翟为刚[1] 谭力宁[2] 

机构地区：[1]第二炮兵工程大学907教研室,陕西西安710025 [2]第二炮兵工程大学701教研室,陕西西安710025

出　　处：《电子设计工程》2014年第15期39-43,共5页Electronic Design Engineering

摘　　要：为了降低摄像机标定中图形加性噪声给标定精度带来的不良影响,提出了基于总体最小二乘法的摄像机标定方法。由于总体最小二乘法具有消除或降低噪声的功能,本文将其用于求解单应性矩阵,既提高了单应性矩阵的精度,又为摄像机内外参数和畸变系数的精确测量提供了理论依据。在此基础上借助OpenCV函数库获取图形中角点高精度坐标的功能,在Visual C++环境下实现了对摄像机的标定。数值实验和实际标定实验均表明,提出的标定方法具有更高的精度和抗噪声能力。In order to undermine the uncertain effect of image additive noise for the precision of the video camera calibration, a camera calibration method based on the total least squares is proposed. It is used to solve homography matrix because the method can remove or reduce the noise. The method can not only improve the accuracy of homography matrix but also provide the theory basis for the accurate measurement of the camera parameters and the distortion coefficient. With the help of high precision corner point coordinate obtained by OpenCV Library, the video camera can be calibrated by Visual C＋＋. Numerical experiments and practical calibration experiments indicates that the calibration methods based on total least squares has more precision.

关 键 词：总体最小二乘法 摄像机标定 噪声 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]