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基于射影不变量的摄像机标定
引用本文:周波,陈新河,谢雪冬.基于射影不变量的摄像机标定[J].黑龙江科技学院学报,2006,16(2):107-110.
作者姓名:周波  陈新河  谢雪冬
作者单位:黑龙江科技学院,计算机与信息工程学院,哈尔滨,150027
摘    要:为解决摄像机标定过程中自动寻找标定物平面上的特征点与图像平面上特征点的对应关系问题,将射影空间几何不变量性质应用到对应点的寻找过程中,通过交比不变性确定标定物和图像上的5个特征点的对应关系;再从5个特征点对中取出任意3个点对,确定标定物和图像上其他特征点的对应关系.实验结果证明:该方法标定准确,标定过程自动、快捷.

关 键 词:特征点匹配  射影不变量  标定参照物
文章编号:1671-0118(2006)02-0107-04
收稿时间:2006-02-28
修稿时间:2006-02-28

Camera calibration based on invariance of perspective projection
ZHOU Bo,CHEN Xinhe,XIE Xuedong.Camera calibration based on invariance of perspective projection[J].Journal of Heilongjiang Institute of Science and Technology,2006,16(2):107-110.
Authors:ZHOU Bo  CHEN Xinhe  XIE Xuedong
Affiliation:Computer and Information Engineering College, Heilongjiang Institute of Science and Technology, Harbin 150327, China
Abstract:The paper attempts to find out corresponding relationship between the feature points on the flat of calibration reference object and on the plane of image automatically during camera calibration.The paper introduces the application of the invariant of perspective projection geometry in space into finding the corresponding points.The practice starts with finding out five feature points' corresponding on the object and on the image by cross ratio invariant and then taking out 3 pairs arbitrarily from the five feature corresponding points and finding out the other points' corresponding relationship between which on the flat of calibration object and on the plane of image.This method features simplicity,shortcut and nicety.Experiments show that the certificate's results present a higher precision and the camera calibration are self-motion and shortcut.
Keywords:feature point matching  invariant of perspective projection  calibration reference object
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