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Flexible and Accurate Camera Calibration Using Imperfect Planar Target

机译:使用不完美的平面目标灵活和准确的相机校准

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Camera calibration using a 2D planar board is widely applied because of the flexibility and simplicity of this method. However, this technique fails to yield reliable and accurate calibration results when an imperfect planar target is used. The accuracy of the image and world coordinates for the extracted corners, which are prerequisites for deriving precise camera parameters, are affected by the lens distortion and the non-planarity of the calibration target. In this paper, the accuracy of the obtained image coordinates is improved by combining a Hilbert transform with a traditional calibration method. In addition, the geometry of the calibration target is fully considered so as to acquire precise world coordinates using an overall nonlinear parameter optimization algorithm. The reprojection error of the proposed method is reduced by 80% compared with the traditional method for a significantly deformed planar target, which demonstrates the superiority of the proposed camera-calibration technique.
机译:使用2D平面板的相机校准是广泛应用的,因为这种方法的灵活性和简单性。然而,当使用不完全平面目标时,该技术无法产生可靠和准确的校准结果。提取的角落的图像和世界坐标的准确性是导出精确相机参数的先决条件的提取拐角的坐标受镜头失真和校准目标的非平面性的影响。在本文中,通过用传统校准方法组合Hilbert变换来改善所获得的图像坐标的精度。另外,校准目标的几何形状被充分考虑,以便使用整体非线性参数优化算法获取精确的世界坐标。与显着变形的平面目标的传统方法相比,所提出的方法的输注误差减少了80%,这证明了所提出的相机校准技术的优越性。

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