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Stepwise calibration of focused plenoptic cameras

机译：聚焦全光相机的逐步校准

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Monocular plenoptic cameras are slightly modified, off-the-shelf cameras that have novel capabilities as they allow for truly passive, high-resolution range sensing through a single camera lens. Commercial plenoptic cameras, however, are presently delivering range data in non-metric units, which is a barrier to novel applications e.g. in the realm of robotics. In this work we revisit the calibration of focused plenoptic cameras and bring forward a novel approach that leverages traditional methods for camera calibration in order to deskill the calibration procedure and to increase accuracy. First, we detach the estimation of parameters related to either brightness images or depth data. Second, we present novel initialization methods for the parameters of the thin lens camera model-the only information required for calibration is now the size of the pixel element and the geometry of the calibration plate. The accuracy of the calibration results corroborates our belief that monocular plenoptic imaging is a disruptive technology that is capable of conquering new markets as well as traditional imaging domains.
机译：单目全光摄像机是经过稍微修改的现成摄像机，具有新颖的功能，因为它们允许通过单个摄像机镜头进行真正的被动式高分辨率范围感测。但是，目前的商用全光摄像机以非公制单位传送距离数据，这对诸如数字电视等新型应用是一个障碍。在机器人领域。在这项工作中，我们将重新讨论聚焦全光相机的校准，并提出一种新颖的方法，该方法利用传统的相机校准方法来简化校准程序并提高准确性。首先，我们分离了与亮度图像或深度数据相关的参数的估计。其次，我们提出了用于薄镜相机模型参数的新颖初始化方法-校准所需的唯一信息现在是像素元素的大小和校准板的几何形状。校准结果的准确性证实了我们的信念，即单眼全光成像是一种破坏性技术，能够征服新市场以及传统成像领域。

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