一种优化的自适应摄像机标定算法  

An Optimized Adaptive Camera Calibration Algorithm

作　　者：姚文韬[1] 沈春锋[1] 董文生[1] 

机构地区：[1]上海宝信软件股份有限公司,上海201203

出　　处：《控制工程》2017年第S1期108-112,共5页Control Engineering of China

基　　金：上海市科委基础研究重大重点项目:面向工业大型机械智能网络控制的多信息视觉识别和三维重构关键技术研究(14JC1402203)

摘　　要：摄像机标定是计算机视觉领域中的基本问题。提出了一种优化的自适应摄像机标定方法。能够快速准确地对摄像机进行标定。标定方法简便易行,仅需一块简易的标定板即可完成全部标定过程。标定方法将镜头畸变校准与摄像机内外参数估计分离,从而提升了镜头畸变校准的精度,且减小了非线性优化过程中的变量维数。在摄像机内外参数估计中,通过交替优化内外参数,相比于Zhang的标定方法[1],标定误差最多可减小63.14%。Camera calibration is a basic problem in computer vision. An optimized adaptive camera calibration method is proposed in this paper, which can efficiently and precisely calibrate cameras. Our calibration method is easy-to-use by using only one calibration board. In our method, we do lens distortion rectification and camera intrinsic and extrinsic parameters estimation separately, which increases the precision of lens distortion rectification. Meanwhile, dimensions are reduced in nonlinear optimization of camera parameters. By means of optimizing camera's intrinsic and extrinsic parameters alternatively in nonlinear optimization, our method reduces the calibration error by at most 63.14 % compared to Zhang's method.

关 键 词：摄像机标定 镜头畸变校准 非线性优化 摄像机内外参数 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]