基于抗差岭估计的相机标定方法  

Camera calibration based on robust ridge estimation

作　　者：王俊威 西勤[1] 冯其强[1] 郭迎刚 王永强 WANG Junwei;XI Qin;FENG Qiqiang;GUO Yinggang;WANG Yongqiang(Information Engineering University,Zhengzhou 450001,China;China National Inspection(Beijing)Surveying and Mapping Instrument Testing Center,Beijing 100039,China)

机构地区：[1]信息工程大学,河南郑州450001 [2]中测国检(北京)测绘仪器检测中心,北京100039

出　　处：《测绘工程》2018年第9期64-68,共5页Engineering of Surveying and Mapping

摘　　要：数字工业摄影测量中,十参数模型是目前应用最广泛的相机畸变模型,但也存在过度参数化问题。相机标定以像点坐标为观测值,当标定模型同时受到复共线和观测异常的影响时,相机标定结果也会受到影响。为提高相机标定精度,提出基于抗差岭估计的相机标定方法,该方法不仅可以改善模型中由于过度参数化导致的复共线问题,而且可以有效抵制观测值异常的影响,提高相机参数求解精度。In digital industrial photogrammetry,the 10-parameter model is the most widely used camera distortion model,but it also has the problem of over parameterization.Camera calibration takes image point coordinates as observation.When the calibration model is affected by multicollinearity and observation anomalies at the same time,the camera calibration result is also affected.To improve the accuracy of camera calibration,this paper proposes a camera calibration method based on robust ridge estimation.This method can not only improve the multicollinearity caused by excessive parameterization in the model,but also can effectively resist the influence of observation anomalies and improve the accuracy of the camera parameters.

关 键 词：相机标定 抗差岭估计 Huber函数 双h公式 

分 类 号：P234.1[天文地球—摄影测量与遥感]