Image-based modeling using a two-step camera calibration method

P. Carvalho, F. Szenberg, M. Gattass
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引用次数: 10

Abstract

We present a two-step camera calibration process based on linear least squares formulations. We show how to apply this process to build an integrated modeling environment, in which a scene is modeled by having the user specify, on a given image, a set of reference points (used for camera calibration) and object points (used for positioning the objects in the scene). Once this has been done, synthetic information can be superimposed onto the image and arbitrary views can be produced. Using this methodology, we developed virtual referee, an application to analyze soccer plays from still images, generating an OpenGL camera over a 3D field model.
基于图像的建模采用两步相机标定方法
提出了一种基于线性最小二乘公式的两步摄像机标定方法。我们展示了如何应用这个过程来构建一个集成的建模环境,在这个环境中,通过让用户在给定的图像上指定一组参考点(用于相机校准)和对象点(用于定位场景中的对象)来对场景进行建模。一旦完成,合成信息就可以叠加到图像上,并产生任意视图。使用这种方法,我们开发了虚拟裁判,这是一种从静止图像中分析足球比赛的应用程序,在3D场地模型上生成OpenGL摄像机。
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