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基于3D标靶的摄像机标定方法的改进
引用本文:刘凌云,钱新恩.基于3D标靶的摄像机标定方法的改进[J].湖北汽车工业学院学报,2008,22(1):33-36.
作者姓名:刘凌云  钱新恩
作者单位:湖北汽车工业学院电气工程系,湖北,十堰,442002
摘    要:针对光学镜头成像时畸变分布的特性,提出了一种改进的摄像机标定方法,以实现摄像机内外部参数和像差修正参数的分离标定。标定实验及之后的摄像机成像二维检测实验证明:该方法大大地简化了计算量,能快速、方便地对摄像机系统进行标定和像差修正;同时能够获得较高的标定精度和测量精度。

关 键 词:机器视觉:摄像机标定  二维测量
文章编号:1008-5483(2008)01-0033-04
修稿时间:2008年1月16日

Reformative Approach to Camera Calibration Based on 3D Pattern
Liu Lingyun,Qian Xin'en.Reformative Approach to Camera Calibration Based on 3D Pattern[J].Journal of Hubei Automotive Industries Institute,2008,22(1):33-36.
Authors:Liu Lingyun  Qian Xin'en
Institution:Liu Lingyun, Qian Xin'en (Dept. of Electrical Engineering, Hubei Automotive Industries Institute, Shiyan 442002, China)
Abstract:According to the characteristic of distortion distribution during the camera lens imaging,a reformative approach to camera calibration was presented in order to achieve the calibration of the interior/exterior parameters and the amending parameters,respectively.From the calibration experiment and the following 2D measuring experiment of vidicon imaging,it is proven that this approach could greatly simplify the calculation and make the system calibration more quick and convenient.In addition,it could obtain higher accuracy of calibration and measurement.
Keywords:machine vision  camera calibration  2D measure
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