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Correspondence-Free Multi Camera Calibration by Observing a Simple Reference Plane

机译:通过观察简单的参考平面进行无通信的多摄像机校准

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In the present paper, we propose a multi camera calibration method that estimates both the intrinsic and extrinsic parameters of each camera. Assuming a reference plane has an infinitely repeated pattern, finding corresponding points between cameras is regarded as being equivalent to the estimation of discrete 2-D transformation on the observed reference plane. This means that the proposed method does not require any overlap of the observed region, and bundle adjustment can be performed in the sense of point-to-point correspondence. Our experiment demonstrates that the proposed method is practically admissible and sufficiently useful for building a simple shape measurement system using multiple cameras.
机译:在本文中,我们提出了一种多相机校准方法,该方法可以估计每个相机的内在和外在参数。假设参考平面具有无限重复的图案,则在相机之间找到对应的点被视为等效于对观察到的参考平面上的离散2-D变换的估计。这意味着所提出的方法不需要观察区域的任何重叠,并且可以在点对点对应的意义上执行束调整。我们的实验表明,所提出的方法实际上是可以接受的,并且对于使用多台摄像机构建简单的形状测量系统而言,该方法足够有用。

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