摘要
对比目前常见的CCD摄像机标定技术,采用了一种基于消隐点的摄像机标定方法。该方法基于射影几何中的B双空间几何概念,在充分利用二维棋盘格标定图像中点、线和面固有的几何关系与属性的基础上,通过改进的角点提取与计算,首先针对摄像机内参数中的横向焦距与纵向焦距进行计算,然后结合非线性优化方法对参数进行优化计算,从而求解出待标定摄像机的全部内参数。该标定方法具有操作过程简单和实验误差小的特点。
Compared with camera calibration methods,this paper introduces a camera calibration method based on vanishing points.The method is based on corresponding subject in B-dual-space geometry rooted in computational geometry.The paper uses the relationship about point,line and plane in chessboard image,combines the improved detection and computing technique about corner points.Firstly computing the x-axis and y-axis focuses of the camera＇s inner parameters,secondly computing the corresponding parameters combined with optimization,finally acquiring the whole camera＇s inner parameters.The method has the merits of simpleness and high precision in experimentation.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第24期4-6,10,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.90820306
国家部委预研基金~~
关键词
B双空间几何
摄像机标定
内参数计算
角点提取
B-dual-space geometry
camera calibration
inner parameter computing
corner detection
