Efficient non-line-of-sight imaging with computational single-photon imaging

David B. Lindell, Matthew O'Toole, Gordon Wetzstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Single-photon detectors time-stamp incident photon events with picosecond accuracy. When combined with pulsed light sources, these emerging detectors record transient measurements of a scene containing the time of flight information of the direct light reflecting off of visible objects, and also the indirectly scattered light from objects outside the line of sight. The latter information has recently been demonstrated to enable non-line-of-sight (NLOS) imaging, where advanced inverse methods process time-resolved indirect light transport of a scene to estimate the 3D shape of objects hidden around corners. In this article, we review computationally efficient NLOS approaches that build on confocally scanned data, where the light pulses used to probe a scene are optically aligned with the detection path. This specific scanning procedure has given rise to computationally efficient inverse methods that enable real-time NLOS image reconstruction.
Original languageEnglish (US)
Title of host publicationAdvanced Photon Counting Techniques XIV
ISBN (Print)9781510635494
StatePublished - Apr 23 2020
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-30
Acknowledgements: D.B.L. was supported by a Stanford Graduate Fellowship. G.W. was supported by an NSF CAREER Award (IIS 1553333), a Sloan Fellowship, by the KAUST Office of Sponsored Research through the Visual Computing Center CCF grant, the DARPA REVEAL program, and a PECASE by the ARO.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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