Locating non-line-of-sight features and recovering imagery conveyed through parallax in passive plenoptic imaging

We present a method for recovering the perspective image of a non-line-of-sight scene based on plenoptic observations of indirect photons scattered from a flat homogeneous surface. The plenoptic information is used to ascertain locations of non-line-of-sight features in a hidden scene. This latent knowledge is then used for the partial reconstruction of the scene by extracting the imagery perceived by the non-line-of-sight features from the scattered light field measured along the surface. We demonstrate the efficacy of our technique by applying it to synthetic and measured light field data to retrieve the locations of multiple knife-edge occlusions in a test scene along with their perceived imagery. (c) 2021 Optical Society of America