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Camera Auto-calibration for Planar Aerial Imagery, Supported by Camera Metadata

机译:平面空中图像的摄像机自动校准,由相机元数据支持

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UAVs in both civil and defense aviation have found numerous application areas in the last decade which resulted in sophisticated systems that extracts high level information utilizing the visual data from UAVs. Camera auto-calibration is always the first step if the intrinsic parameters of the cameras are not available. However, this process is not trivial as the aerial imagery mostly contains planar scenes which constitute a degenerate condition for conventional methods. In this paper, we propose a hybrid approach which incorporates circular point and camera position constraints as a single optimization term to automatically calibrate the camera of the UAV on planar scenes. The experimental results show that our proposed hybrid method is more robust and accurate than the conventional counterparts.
机译:民间和国防航空中的无人机在过去十年中发现了众多应用领域,导致复杂的系统,利用来自无人机的视觉数据提取高级信息。如果不可用摄像机的内在参数,相机自动校准始终是第一步。然而,该过程并不是琐碎的,因为空中图像主要包含构成传统方法的简并条件的平面场景。在本文中,我们提出了一种混合方法,其将圆点和相机位置约束包含为单个优化项,以在平面场景上自动校准无人机的相机。实验结果表明,我们所提出的混合方法比传统的对应物更强大,准确。

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