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A new camera calibration method for multi-camera localization

机译:一种新型相机校准方法,用于多摄像机定位

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Camera calibration is a necessary step in 3D computer vision in order to extract metric information from 2D images. In the camera calibration applying to multi-camera localization, it's prerequisite that all cameras, which mounted apart from each other, must observe the whole calibration object simultaneously. However, it's inconvenient to satisfy using traditional 3D or 2D calibration objects. In the paper, we propose a new calibration object contains five points placed in the shape of ‘+’. Meanwhile the calibration method based on the new object is also presented. Our calibration object is a midway between 1-D and 2-D calibration objects. Furthermore, in the procedure of calibration, the calibration object can be freely moved.
机译:相机校准是3D计算机视觉中的必要步骤,以便从2D图像中提取度量信息。在应用于多摄像机本地化的相机校准中,它的先决条件是所有相机彼此安装,必须同时观察整个校准对象。但是,使用传统的3D或2D校准对象满足不方便。在论文中,我们提出了一种新的校准对象,其中包含以'+'形状的五个点。同时还呈现了基于新对象的校准方法。我们的校准对象是1-D和2-D校准对象之间的中途。此外,在校准程序中,可以自由地移动校准物体。

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