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Comparison of reconstruction approaches for plenoptic imaging systems

机译:全光成像系统重建方法的比较

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Plenoptic cameras provide single-shot 3D imaging capabilities, based on the acquisition of the Light-Field, which corresponds to a spatial and directional sampling of all the rays of a scene reaching a detector. Specific algorithms applied on raw Light-Field data allow for the reconstruction of an object at different depths of the scene. Two different plenoptic imaging geometries have been reported, associated with two reconstruction algorithms: the traditional or unfocused plenoptic camera, also known as plenoptic camera 1.0, and the focused plenoptic camera, also called plenoptic camera 2.0. Both systems use the same optical elements, but placed at different locations: a main lens, a microlens array and a detector. These plenoptic systems have been presented as independent. Here we show the continuity between them, by simply moving the position of an object. We also compare the two reconstruction methods. We theoretically show that the two algorithms are intrinsically based on the same principle and could be applied to any Light-Field data. However, the resulting images resolution and quality depend on the chosen algorithm.
机译:全光摄像机基于光场的采集提供单次3D成像功能,这对应于到达检测器的场景中所有光线的空间和方向采样。应用于原始光场数据的特定算法允许在场景的不同深度重建对象。已经报道了两种不同的全光成像几何结构,它们与两种重建算法相关联:传统的或未聚焦的全光相机,也称为全光相机1.0,以及聚焦的全光相机,也称为全光相机2.0。两种系统都使用相同的光学元件,但是放置在不同的位置:主透镜,微透镜阵列和检测器。这些全光系统被认为是独立的。在这里,我们通过简单地移动对象的位置来显示它们之间的连续性。我们还比较了两种重建方法。我们从理论上证明这两种算法本质上是基于相同的原理,并且可以应用于任何光场数据。但是,最终的图像分辨率和质量取决于所选的算法。

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