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机构地区:[1]Image Processing and Pattern Recognition Institute,Shanghai Jiaotong University
出 处:《Journal of Shanghai Jiaotong university(Science)》2009年第5期518-525,共8页上海交通大学学报(英文版)
摘 要:In this paper,we use 1D rotating objects to calibrate camera.The calibration object has three collinear points.It is not necessary for the object to rotate around one of its endpoints as before;instead,it rotates around the middle point in a plane.In this instance,we can use two calibration constraints to compute the intrinsic parameters of a camera.In addition,when the 1D object moves in a plane randomly,the proposed technique remains valid to compute the intrinsic parameters of a camera.Experiments with simulated data as well as with real images show that our technique is accurate and robust.In this paper, we use 1D rotating objects to calibrate camera. The calibration object has three collinear points. It is not necessary for the object to rotate around one of its endpoints as before; instead, it rotates around the middle point in a plane. In this instance, we can use two calibration constraints to compute the intrinsic parameters of a camera. In addition, when the 1D object moves in a plane randomly, the proposed technique remains valid to compute the intrinsic parameters of a camera. Experiments with simulated data as well as with real images show that our technique is accurate and robust.
关 键 词:camera calibration 1D calibration object vanishing line ellipse fitting circular points
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] U664.33[自动化与计算机技术—计算机科学与技术]
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