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Camera calibration method based on Pascala??s theorem

机译:基于帕斯卡拉定理的摄像机标定方法

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As one of the classical theories of projective geometry, Pascala??s theorem is closely related to the conic, which is the image of a circle. A circle is the geometric element typically used as a template for camera calibration methods. In this work, we propose a calibration method based on Pascala??s theorem and its inference, in which a circle is used as the calibration template. The proposed calibration method can be applied to solve the image of the circular points via the Newton iteration method. The intrinsic parameters of the camera can then be determined based on the constraints of the images of the circular points and the image of the absolute conic. The results of simulations and experiments conducted verify the validity and feasibility of the proposed calibration method.
机译:作为射影几何学的经典理论之一,帕斯卡拉定理与圆锥(即圆的图像)紧密相关。圆圈是通常用作相机校准方法模板的几何元素。在这项工作中,我们提出了一种基于Pascala定理及其推论的标定方法,其中使用一个圆作为标定模板。所提出的校准方法可以通过牛顿迭代法来求解圆点图像。然后可以基于圆点图像和绝对圆锥图像的约束条件来确定摄像机的固有参数。仿真和实验结果验证了所提出的校准方法的有效性和可行性。

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