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arXiv · 1711.07134

Non-line-of-sight Imaging with Partial Occluders and Surface Normals

Felix Heide·Matthew O'Toole·Kai Zang·David Lindell·Steven Diamond·Gordon Wetzstein
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Abstract

Imaging objects obscured by occluders is a significant challenge for many applications. A camera that could "see around corners" could help improve navigation and mapping capabilities of autonomous vehicles or make search and rescue missions more effective. Time-resolved single-photon imaging systems have recently been demonstrated to record optical information of a scene that can lead to an estimation of the shape and reflectance of objects hidden from the line of sight of a camera. However, existing non-line-of-sight (NLOS) reconstruction algorithms have been constrained in the types of light transport effects they model for the hidden scene parts. We introduce a factored NLOS light transport representation that accounts for partial occlusions and surface normals. Based on this model, we develop a factorization approach for inverse time-resolved light transport and demonstrate high-fidelity NLOS reconstructions for challenging scenes both in simulation and with an experimental NLOS imaging system.

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Felix Heide, Matthew O'Toole, Kai Zang, David Lindell, Steven Diamond, Gordon Wetzstein. 2018-04-04. Non-line-of-sight Imaging with Partial Occluders and Surface Normals. https://arxiv.org/abs/1711.07134

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