【摘要】 研究探讨了一种基于平面二次曲线的纯旋转摄像机自标定方法 .在不同的方位拍摄三幅或三幅以上图像 ,每幅图像至少包含两个空间平面二次曲线、或两个二次曲面、或一个平面二次曲线与一个二次曲面的投影 ,利用图像之间的二次曲线对应关系 ,可以确定摄像机的内参数矩阵 ,同时可以获得摄像机不同方位之间的旋转矩阵 .由于使用的定标基元为二次曲线 ,是较点和直线包含更多信息的基元 ,因而基元之间的匹配容易自动实现 ,并有助于提高标定算法的鲁棒性和在线实时性 .模拟实验和真实图像实验表明文中所介绍的方法是可行的更多还原

【Abstract】 In this paper, instead of corresponding image points which are widely used in the literature, corresponding image conics are used to calibrate a rotating camera. An image conic can be the projection of either a planar conic or silhouette of a conicoid. We show that at least three images, taken from the same position with different camera orientations, of two planar conics, or two conicoids, or one conic and one conicoid, are needed for the calibration, and a closed form solution can be obtained. Our new conic based calibration technique requires no knowledge of camera’s orientations, and relies solely on image correspondences. Since a conic contains more useful information than a line or a point, it is much easier to establish feature correspondences . In addition, it is also helpful to improve the robustness of calibration. Both computer simulation and experiments with real images are done to validate our new technique.更多还原