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Paracatadioptric camera calibration using sphere images and common self-polar triangles

机译:使用球体图像和普通自极三角形的映射相机校准

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摘要

Camera calibration is an indispensable step in achieving stratified three-dimensional reconstruction. In the imaging model of the unit viewing sphere of a central catadioptric camera, there exists a pair of common self-polar triangles between a pair of antipodal sphere images and the image of the great circle on the base plane, so the vertices of the common self-polar triangles can be obtained. According to the imaging characteristics of the sphere on the unit viewing sphere, the line connecting the two common poles outside the conics is a vanishing line, enabling the imaged circular points to be determined. Finally, the intrinsic parameters of the paracatadioptric camera can be found using constraints between the imaged circular points and the image of the absolute conic. Since the boundary points of the sphere image can be almost completely extracted, the curve fitting accuracy can be improved. Experiments with simulated as well as real data demonstrated that our method is feasible and effective.
机译:相机校准是实现分层三维重建的必不可少的步骤。在中央偶像摄像机的单元观察球体的成像模型中,存在一对反双球图像和基平面上的大圆圈的图像之间的一对常见的自极三角形,因此常见的顶点可以获得自极的三角形。根据球体的成像特性在单元观察球上,连接两个常见杆在锥体外部的线是消失线,使得能够确定成像圆点。最后,可以使用成像圆点与绝对圆锥的图像之间的约束来找到映射相机的内在参数。由于可以几乎完全提取球形图像的边界点,因此可以提高曲线拟合精度。模拟和实际数据的实验表明,我们的方法是可行和有效的。

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