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On the Calibration of Focused Plenoptic Cameras

机译:关于聚焦全光相机的校准

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摘要

Plenoptic cameras provide a robust way to capture 3D information with a single shot. This is accomplished by encoding the direction of the incoming rays with a microlens array (MLA) in front of the camera sensor. In the focused plenoptic camera, a MLA acts like multiple small cameras that capture the virtual scent on the focus plane of a main lens from slightly different angles, which enables algorithmic depth reconstruction. This virtual depth is measured on the camera side, and independent of the main lens used. The connection between actual lateral distances and virtual depth, however, does depend on the main lens parameters, and needs to be carefully calibrated. In this paper, we propose an approach to calibrate focused plenoptic cameras, which allows a metric analysis of a given scene. To achieve this, we minimize an energy model based upon the thin lens equation. The model allows to estimate intrinsic and extrinsic parameters and corrects for radial lateral as well as radial depth distortion.
机译:全光摄像机提供了一种可靠的方式来单次捕获3D信息。这是通过使用相机传感器前面的微透镜阵列(MLA)对入射光线的方向进行编码来实现的。在聚焦全光摄像机中,MLA的作用类似于多个小型摄像机,它们从稍微不同的角度捕获主透镜焦平面上的虚拟气味,从而实现算法深度重建。该虚拟深度是在相机侧测量的,与所使用的主镜头无关。但是,实际横向距离和虚拟深度之间的关系确实取决于主镜头参数,因此需要仔细进行校准。在本文中,我们提出了一种校准聚焦全光摄像机的方法,该方法可以对给定场景进行度量分析。为此,我们基于薄透镜方程最小化了能量模型。该模型可以估计内部和外部参数,并校正径向横向变形和径向深度变形。

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