Recently, multi‐projective cameras (MPCs), often based on frame‐mounted multiple cameras with a small baseline and arbitrary overlap, have found a remarkable place in geomatics and vision‐based applications. This paper outlines the geometric calibration of a general MPC by presenting a mathematical model that describes its unknown generic geometry. A modified bundle block adjustment is employed to calibrate an industrial‐level 360° non‐metric camera. The structure of any MPC can be retrieved as a calibration set of relative and interior orientation parameters (as well as the pose of the MPC shots) using a calibration room which has been accurately determined by close range photogrammetry. To demonstrate the efficiency and precision of the model, a Panono camera (an MPC with 36 individual cameras) was calibrated. After the adjustment, sub‐pixel image residuals and acceptable object‐space errors were observed.

中文翻译：

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通用多投影相机的建模和自动校准

近年来，多投影摄像机（MPC）通常基于具有较小基准线和任意重叠的框架安装式多摄像机，在基于地理学和视觉的应用程序中占有重要地位。本文通过介绍描述未知MPC通用几何形状的数学模型，概述了MPC的几何校准。修改后的捆绑块调整用于校准工业级360°非公制摄像机。使用已通过近距离摄影测量法精确确定的校准室，可以将任何MPC的结构作为相对和内部方向参数（以及MPC拍摄姿势）的校准集进行检索。为了证明模型的效率和精度，对Panono相机（带有36个单独相机的MPC）进行了校准。调整后