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Abstract：
A panorama ensures a stunning wide-angle field of view up to 360° representation of a scene, exceeding the limits of a normal photograph. Panoramic cameras satisfy the single-viewpoint characteristic. There are several types of panoramic cameras for 360-degree imaging. Multi-camera panoramic imaging systems pose a difficulty in obtaining a single projection center for the cameras. In a variety of practical implementations of panoramic cameras, it is possible to calculate three-dimensional coordinates from a panoramic image, especially using the Direct Linear Transformation (DLT) method. In this study, not only a defining method of the non-uniform image coordinate system is presented by utilizing the C-Means algorithm for a single panoramic image, captured with a Ladybug2 panoramic camera in a panoramic calibration room but also the use of an elliptical panoramic projection coordinate system is defined by the Singular Value Decomposition method in a panoramic view. The results of the suggested method have been compared with the DLT algorithm for a single panoramic image which defined a conventional photogrammetric image coordinate system. It has been observed that the proposed method provides more accurate results for the 3D coordinate definition.
摘要：
全景图确保了一个令人惊叹的广角视野，高达360°的场景表示，超出正常照片的限制。全景相机满足单视点特性。有几种类型的全景相机用于360度成像。多相机全景成像系统在获得相机的单个投影中心方面存在困难。在全景相机的各种实际实现中，可以从全景图像计算三维坐标，特别是使用直接线性变换(DLT)方法。在这项研究中,利用C-Means算法对单幅全景图像提出了非均匀图像坐标系的定义方法,在全景校准室中使用Ladybug2全景相机捕获，但也使用椭圆全景投影坐标系通过全景视图中的奇异值分解方法定义。已将建议方法的结果与定义了常规摄影测量图像坐标系的单幅全景图像的DLT算法进行了比较。已经观察到，所提出的方法为3D坐标定义提供了更准确的结果。
