摘要
对于精度要求高、成本低或使用广角镜头的系统,在标定摄像机参数时需要校正镜头畸变。通常在摄像机标定算法中,镜头畸变参数的校正和摄像机参数求解都结合在一起,增加了算法的复杂性,并且依赖标定模板。针对以上问题,提出了一种新的标定方法,即不需要标定模板,也不需要确定空间点的精确坐标。首先通过直线的射影不变性校正镜头畸变参数,再根据直线的正交性标定摄像机内参数。仿真实验和真实图像实验结果表明,在直线特征明显的场合,该方法精度高,可靠有效。
In low cost cameras and wide-angle cameras,lens distortion should be calibrated.In traditional methods,ca-mera's interior parameters and lens distortion are calibrated together.In this work,we presented a method to calibrate distortion and camera's parameters,without any calibration objects and 3D coordinates.Lens distortion was corrected based on the projective invariant of straight lines,orthogonal straight lines were used to calibrate camera's interior parameters.The accuracy and availability of the method were verified on the experimental result of simulation and real data.
出处
《计算机科学》
CSCD
北大核心
2011年第8期272-274,共3页
Computer Science
基金
国家高技术研究发展计划863项目(2007AA01Z160)
国家自然科学基金项目(60775042)资助
关键词
机器视觉
摄像机标定
畸变校正
直线特征
Machine vision
Camera calibration
Distortion calibration
Line