Improving Multi-View Camera Calibration Using Precise Location of Sphere Center Projection
Improving Multi-View Camera Calibration Using Precise Location of Sphere Center Projection
复制标题
使用球中心投影的精确位置改进多视图相机校准
DOI：
10.3390/computers11060084
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
J. Guardiola
中科院分区：
文献类型：
--
作者：
A. Perez;Javier Perez;J. Pérez;J. Guardiola
几种校准算法使用球体作为校准标记，因为球体在多个视图中呈现的简单性和均匀形状，沿着其构造的简单性。替代方案包括使用带有参考标记的复杂3D标记，通常很难以所需的精度构建和分析;或者搜索场景图像中的共同特征，由于视角变化，这项任务也非常复杂。一些使用球体的算法依赖于从相机图像获得的球体中心投影的估计来进行。从图像上的球体轮廓计算这些投影点并不简单，因为它与轮廓形心并不完全匹配。因此，已经开发了几种方法来科普这种计算。在这项工作中，一个简单而快速的数值方法，适用于精确计算这些算法的球心投影。与其他类似的现有方法相比，其优点是易于实现，并且对分割问题的敏感性较低。所提出的方法的其他可能的应用。
Several calibration algorithms use spheres as calibration tokens because of the simplicity and uniform shape that a sphere presents across multiple views, along with the simplicity of its construction. Among the alternatives are the use of complex 3D tokens with reference marks, usually complex to build and analyze with the required accuracy; or the search of common features in scene images, with this task being of high complexity too due to perspective changes. Some of the algorithms using spheres rely on the estimation of the sphere center projection obtained from the camera images to proceed. The computation of these projection points from the sphere silhouette on the images is not straightforward because it does not match exactly the silhouette centroid. Thus, several methods have been developed to cope with this calculation. In this work, a simple and fast numerical method adapted to precisely compute the sphere center projection for these algorithms is presented. The benefits over other similar existing methods are its ease of implementation and that it presents less sensibility to segmentation issues. Other possible applications of the proposed method are presented too.
DOI：
10.1109/34.888718
发表时间：
2000-11-01
影响因子：
23.6
作者：
Zhang, ZY
通讯作者：
Zhang, ZY