摘要
共面摄像机标定就是采用平面式模板来确定摄像机内外参数的过程,在此过程中图像像素和二维特征点是已知的。对于共面标定提出了一种简单及有效的方法去标定摄像机参数。即使用帧缓存中的计算机阵列图像直接来标定参数。首先采用预标定的方法标定出图像中心位置,然后根据帧存图像坐标和世界坐标之间的对应关系使用正交矩阵的约束条件来求解,在此算法中假设尺度因子为1,并且不考虑透镜畸变。所提出的算法用数字仿真图像及真实的图像检验。结果显示,所提出的算法具有较好的精度,是一种简单有效的标定方法。
Coplanar camera calibration is the process of determining the extrinsic and intrinsic parameters of camera,where a set of image and two-dimensional control points are known.This paper presents a simple and efficient technique to compute the calibration parameters for coplanar calibration.Computing of the calibration parameters is directly performed on computer image array in the framem buffer.First,camera image center is calibrated by the precalibration.Then according to the relation between computer image array in the framem and world coordiantes,the parameters can be solved using available orthogonality constraints,where the scale factor is assumed as one and the lens distortion is not considered.The proposed algorithm is tested with digital synthetic image and real image.The results show that the proposed technique is accurate and effective.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第2期86-88,97,共4页
Computer Engineering and Applications
基金
江苏省国际合作项目(No.BZ2005035)
江苏大学高级技术人才科研基金(No.JDG2003004)。
关键词
摄像机标定
共面点
正交约束
camera calibration
eoplanar target
orthogonality constraint