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Non-line-of-sight Imaging with Partial Occluders and Surface Normals
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 system...
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Published in: | ACM transactions on graphics 2019-06, Vol.38 (3), p.1-10 |
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Language: | English |
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container_title | ACM transactions on graphics |
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creator | Heide, Felix O’Toole, Matthew Zang, Kai Lindell, David B. Diamond, Steven Wetzstein, Gordon |
description | 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. |
doi_str_mv | 10.1145/3269977 |
format | article |
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title | Non-line-of-sight Imaging with Partial Occluders and Surface Normals |
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