摘要
以计算机视觉和视觉检测中的摄像机标定过程作为研究的对象,分析了开源计算机视觉函数库OpenCV中的摄像机模型,使用张正友基于平面模板的方法进行标定,过程中充分考虑了透镜径向畸变和切向畸变因素的影响。文章给出了标定的详细步骤,并对具体函数做了算法上的分析,同时从参数非线性回归分析的角度提出了优化的途径和措施。该算法充分发挥了OpenCV函数库的功能,提高了标定精度和计算效率,具有良好的跨平台移植性,可以满足视觉检测或其它计算机视觉系统的需要。
To computer vision and visual inspection of the camera calibration process as the object of study, analysis of the camera model in the open source computer vision library OpenCV, making used of Zhang Zhengyou planar template - based approach to calibration, the process takes full account of the radial lens distortion and tangential distortion factors. Article give the detailed steps of the calibration of the specific function of the algorithm to do the analysis, the parameters simultaneously from the perspective of non - linear regression analysis made to optimize the way and measures. The algorithm give full play to the OpenCV library functions, improve the calibration accuracy and computational efficiency, a good cross - platform portability to meet the visual inspection or other computer vision systems.
出处
《微计算机应用》
2009年第4期24-29,共6页
Microcomputer Applications
关键词
机器视觉
摄像机标定
平面模板
畸变系数
computer vision , camera calibration , planar template , distortion parameter
