摄像机标定的研究  

Study on camera calibration

作　　者：曾令虎[1] 刘鹏[1] 

机构地区：[1]武汉工业学院数理科学系,武汉430024

出　　处：《武汉工业学院学报》2011年第3期47-53,共7页Journal of Wuhan Polytechnic University

摘　　要：对摄像机标定的发展现状进行了综述,根据是否需要标定物体将标定方法分为三类:传统标定方法、自标定方法和基于主动视觉的标定方法,并分别给出了三种方法中主流方法的模型,对其优缺点做出评价并指出发展方向。Camera calibration is one of the most important components in computer vision,and it aims to determine the camera model by one or more images taken by the camera and then it can obtain the the intrinsic and extrinsic parameters by optimizing the model.It＇s used widely in robot navigation,monitoring system and so on.In this paper,we first gave a survey on the camera calibration,and classified it to three classes according to wether the specific object is necessary or not,traditional calibration method,self-calibration and object-based calibration.Then,we provide the model of the three methods separately,evaluate the advantages and the disadvantages,and at last we point out the research orientation in the future.

关 键 词：摄像机标定 自标定方法 传统标定法 主动视觉 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] TP301.6[自动化与计算机技术—控制科学与工程]