摘要
摄像机标定是计算摄像机成像模型参数的过程,它是计算机视觉中的一个基本问题.在分析摄像机成像模型基础上,提出了一种基于OpenCV的摄像机标定技术.该技术采用张氏平面标定原理,并且借助于开源的OpenCV函数库在Visual Studio 2005开发平台下完成标定.实验结果表明,该标定技术简便而有效,具有较高的标定精度,可以广泛应用于三维重构、虚拟现实等领域.
Camera calibration is the process of calculating the parameters of camera imaging model, which is a basal prob- lem in computer vision. On the basis of analyzing the camera imaging model, a new calibration technique was proposed in this paper. The technique uses Zhang＇s planar calibration algorithm and OpenCV library in Visual Studio 2005 to complete calibration. The experimental results showed that the proposed technique is not only simple and effective, but also has high calibration accuracy, so it can be widely applied in most computer vision areas, such as 3D reconstruction and virtual reality etc.
出处
《周口师范学院学报》
CAS
2013年第2期85-88,共4页
Journal of Zhoukou Normal University
基金
国家自然科学基金(No.61272216
60973096)
河南省教育厅自然科学研究计划项目(No.2010B520036)
周口师范学院青年科研基金资助项目(No.2012QN04)
