轮对在线检测中基于异面特征点的摄像机标定  

Research on camera calibration technique of wheel set online detection based on non-coplanar feature points

作　　者：陈康[1] 吴开华[1] 

机构地区：[1]杭州电子科技大学生命信息与仪器工程学院,浙江杭州310018

出　　处：《光学仪器》2016年第1期1-5,共5页Optical Instruments

基　　金：国家自然科学基金资助项目(61372155)

摘　　要：基于光截图像的轮对在线检测中,摄像机的标定技术直接影响轮对参数的检测精度。针对轮对在线检测环境,设计了一套摄像机标定系统。在该系统中,设计特制的平面标定板,将其竖直固定于轨道面不同位置,通过异面特征点实现了摄像机的标定。并利用摄像机标定软件实现了标定板图像采集,图像处理,特征点计算机图像坐标提取和摄像机内外部参数计算。实验结果表明,该标定系统的摄像机标定精度在0.1mm以内,可应用在轮对在线检测中。In the wheel set online detection based on structured light projection image technique,the camera calibration technique directly affects the precision of wheel set online detection.According to the environment of wheel set online detection,camera calibration system was designed.In the system,the special calibration plate was vertically installed on the rail surface.The non-coplanar feature points were used to realize the camera calibration.The camera calibration software realized the calibration plate image acquisition,the image processing and the extraction of computer image feature points.Finally,the software calculated internal and external parameters in the camera coordinate.The experimental results showed that the camera calibration accuracy was less than 0.1mm.This system can be used on wheel set online detection.

关 键 词：轮对在线检测 摄像机标定 光截图像 异面特征点 

分 类 号：TN29[电子电信—物理电子学]