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Intrinsic Calibration of a Camera to a Line-Structured Light Using a Single View of Two Spheres

机译:使用两个球体的单个视图对线结构的光线进行摄像机的固有校准

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This paper proposes a novel approach to calibrate the intrinsic camera parameters from a single image, which includes the silhouette of two spheres and two ellipses generated by the intersection between the line-structured laser light and the two spheres. This approach uses the vanishing line of a plane and its normal direction to calculate the orthogonal constraints on the image of absolute conic (IAC). And this plane is formed by the camera center and two sphere centers. In addition, the pair of the circular points of the light plane is calculated from the generalized eigenpairs from the intersection between the light plane and the spheres. The intrinsic parameters of the camera can then be recovered from the derived orthogonal constraint and the pair of circular points on the IAC. Furthermore, the 3D positions of these two sphere centers under the camera coordinate can be recovered from the camera intrinsic matrix and then used to evaluate the accuracy of the camera intrinsic matrix. Experiment results on both synthetic and real data show the accuracy and the feasibility of the proposed approach.
机译:本文提出了一种从单个图像校准相机固有参数的新颖方法,该方法包括两个球面的轮廓以及由线结构激光和两个球面之间的交点生成的两个椭圆。该方法使用平面的消失线及其法线方向来计算绝对圆锥(IAC)图像上的正交约束。该平面由相机中心和两个球体中心组成。另外,从光平面与球体之间的交点根据广义本征对计算出光平面的一对圆点。然后可以从派生的正交约束和IAC上的一对圆点中恢复摄像机的固有参数。此外,可以从相机固有矩阵中恢复相机坐标下这两个球体中心的3D位置,然后将其用于评估相机固有矩阵的准确性。综合和真实数据的实验结果表明了该方法的准确性和可行性。

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