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基于计算机视觉的相机标定方法
引用本文:景国峰.基于计算机视觉的相机标定方法[J].北京测绘,2021,35(1):122-125.
作者姓名:景国峰
作者单位:山东正元数字城市建设有限公司,山东烟台264670
基金项目:住房城乡建设部科学技术项目计划
摘    要:随着航空摄影测量及倾斜摄影技术的不断推广,其相机传感器受内在及外在因素的影响,使得相机畸变参数的准确性并不是稳定如一,因而极大限制了数据处理的效率。针对这一问题,本文以解决相机畸变参数的准确性作为出发点,从相机成像原理出发,分析相机成像中的误差,介绍相机标定的方法,对相机标定进行实验分析,以达到准确标定相机参数的目的,并将计算的畸变参数应用于实际项目的空中三角测量。试验结果表明,获取的畸变参数可提高空三的效率及稳定性。

关 键 词:畸变参数  误差  相机标定  稳定性

Camera Calibration Method Based on Computer Vision
JING Guofeng.Camera Calibration Method Based on Computer Vision[J].Beijing Surveying and Mapping,2021,35(1):122-125.
Authors:JING Guofeng
Institution:(Shandong Zhengyuan Digital City Construction Company Limited,Yantai Shandong 264670,China)
Abstract:With the continuous promotion of aerial photogrammetry and oblique photography technology,its camera sensors are affected internal and external factors of the image,leading that the accuracy of the camera’s distortion parameters not stable,which greatly limits the efficiency of data processing.In order to solve this problem,it took the accuracy of camera distortion parameters as the starting point,analyzed the errors in camera imaging based on the principle of camera imaging,introduced the method of camera calibration,and performed experimental analysis on camera calibration to achieve accurate calibration of camera parameters.The method was applied to calculated the distortion parameters to aerial triangulation of actual projects.The results shown that the distortion parameters could improve the efficiency and stability of aerial triangulation.
Keywords:distortion parameters  errors  camera calibration  stability
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