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Passive non-line-of-sight imaging using plenoptic information.
Journal of the Optical Society of America A ( IF 1.9 ) Pub Date : 2020-04-01 , DOI: 10.1364/josaa.377821
Di Lin , Connor Hashemi , James R Leger

We present a methodology for recovering the perspective imagery of a non-line-of-sight scene based on plenoptic observations of indirect photons scattered from a homogeneous surface. Our framework segregates the visual contents observed along the scattering surface into angular and spatial components. Given the reflectance characteristics of the scatterer, we show that the former can be deduced from scattering measurements employing diversity in angle at individual surface points, whereas the latter can be deduced from captured images of the scatterer based on prior knowledge of occlusions within the scene. We then combine the visual contents from both components into a plenoptic modality capable of imaging at higher resolutions than what is allowed by the angular information content and discriminating against extraneous signals in complex scenes that spatial information struggles to discern. We demonstrate the efficacy of this approach by reconstructing the imagery of test scenes from both synthetic and measured data.

中文翻译:

使用全光信息的被动式非视距成像。

我们提出了一种基于从均匀表面散射的间接光子的全光观测来恢复非视线场景的透视图像的方法。我们的框架将沿着散射表面观察到的视觉内容分离为角度和空间成分。给定散射体的反射特性,我们表明前者可以通过在各个表面点使用角度变化从散射测量得出,而后者可以根据场景中的遮挡的先验知识从散射体的捕获图像中得出。然后,我们将来自这两个组件的视觉内容组合到一个全光形态中,该形态能够以比角度信息内容所允许的分辨率更高的分辨率进行成像,并在空间信息难以辨认的复杂场景中辨别无关信号。我们通过从合成数据和实测数据重建测试场景的图像来证明这种方法的有效性。
更新日期:2020-03-11
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