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首页> 外文会议>European Conference on Computer Vision(ECCV 2006) pt.1; 20060507-13; Graz(AT) >Camera Calibration with Two Arbitrary Coaxial Circles
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Camera Calibration with Two Arbitrary Coaxial Circles

机译：带有两个任意同轴圆的摄像机标定

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摘要

We present an approach for camera calibration from the image of at least two circles arranged in a coaxial way. Such a geometric configuration arises in static scenes of objects with rotational symmetry or in scenes including generic objects undergoing rotational motion around a fixed axis. The approach is based on the automatic localization of a surface of revolution (SOR) in the image, and its use as a calibration artifact. The SOR can either be a real object in a static scene, or a "virtual surface" obtained by frame superposition in a rotational sequence. This provides a unified framework for calibration from single images of SORs or from turntable sequences. Both the internal and external calibration parameters (square pixels model) are obtained from two or more imaged cross sections of the SOR, whose apparent contour is also exploited to obtain a better calibration accuracy. Experimental results show that this calibration approach is accurate enough for several vision applications, encompassing 3D realistic model acquisition from single images, and desktop 3D object scanning.
机译：我们提出了一种从以同轴方式排列的至少两个圆的图像进行相机校准的方法。这种几何构造出现在具有旋转对称性的物体的静态场景中或在包括围绕固定轴进行旋转运动的通用物体的场景中。该方法基于图像中旋转表面（SOR）的自动定位，并将其用作校准伪像。 SOR可以是静态场景中的真实对象，也可以是通过旋转顺序中的帧叠加获得的“虚拟表面”。这为从SOR的单个图像或转盘序列进行校准提供了统一的框架。内部和外部校准参数（正方形像素模型）都是从SOR的两个或多个成像横截面获得的，SOR的表面轮廓也被用来获得更好的校准精度。实验结果表明，这种校准方法对于几种视觉应用来说都足够准确，包括从单个图像获取3D逼真的模型以及进行桌面3D对象扫描。

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