We investigate the use of plenoptic data for locating non-line-of-sight (NLOS) objects from a scattered light signature. Using Fourier analysis, the resolution limits of the depth and transversal location estimates are derived from fundamental considerations on scattering physics and measurement noise. Based on the refocusing algorithm developed in the computer vision field, we derive an alternative formulation of the projection slice theorem in a form directly connecting the light field and a full spatial frequency spectrum including both depth and transversal dimensions. Using this alternative formulation, we propose an efficient spatial frequency filtering method for location estimation that is defined on a newly introduced mixed space frequency plane and achieves the theoretically limited depth resolution. A comparison with experimental results is reported.

中文翻译：

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使用全光数据从散射光进行非视线目标位置估计

我们调查使用全光数据从散射光特征中定位非视线（NLOS）对象。使用傅里叶分析，深度和横向位置估计的分辨率极限是从散射物理和测量噪声的基本考虑中得出的。基于计算机视觉领域中开发的重新聚焦算法，我们以直接连接光场和包括深度和横向尺寸的完整空间频谱的形式，得出了投影切片定理的另一种表示形式。使用此替代公式，我们提出了一种用于位置估计的有效空间频率滤波方法，该方法在新引入的混合空间频率平面上定义，并实现了理论上有限的深度分辨率。