一种基于OpenCV及CVUT的摄像机标定方法  

Method of Camera Calibration Based on OpenCV and CVUT

作　　者：张立静[1] 付宜利[1] 冯美[1] 

机构地区：[1]哈尔滨工业大学机电工程学院,哈尔滨150001

出　　处：《自动化与仪表》2011年第12期48-51,共4页Automation & Instrumentation

基　　金：国家高技术研究发展计划资助项目(2007AA04Z248)

摘　　要：该文以摄像机标定为研究对象,简单介绍了OpenCV及CVUT(computer vision utilitytools),分析了计算机视觉函数库OpenCV中的摄像机模型,其中的非线性畸变考虑到了切向畸变和径向畸变。根据模型详细给出了标定过程,通过标定过程给出OpenCV及CVUT的标定算法,充分发挥了OpenCV的函数库和CVUT功能,从而实现了摄像机标定。该算法对于图像处理与计算机视觉方面的应用设计具有实用价值,并且可以缩短应用程序的开发周期,消除C语言中比较常见的内存泄露问题,具有良好的跨平台移植性,可满足视觉检测或其它计算机视觉系统的需要。This paper researching on the camera calibration,have briefly introduced OpenCV and CVUT（computer vision utility tools）. Then we analyzed the camera model in the vision function library. OpenCV,the process which takes full account of the radial lens distortion and tangential distortion factors. What＇s more,we have figured out the calibration process and calibration algorithm. Therefore,the calibration based on OpenCV and CVUT could be achieved,which puts the function of OpenCV and CVUT libraries into full play. This kind of arithmetic had practical value on the application design of image processing and computer vision,and could short the development cycle of application program,eliminate the EMS memory leak that were very common in C language,and had a good crofts-- platform portability to meet the visual inspection or other computer vision systems.

关 键 词：OPENCV 摄像机模型 摄像机标定 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]