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SNLOS: Non-line-of-sight Scanning through Temporal Focusing

  • Rice University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

37 Scopus citations

Abstract

Over the last decade, several techniques have been developed for looking around the corner by exploiting the round-trip travel time of photons. Typically, these techniques necessitate the collection of a large number of measurements with varying virtual source and virtual detector locations. This data is then processed by a reconstruction algorithm to estimate the hidden scene. As a consequence, even when the region of interest in the hidden volume is small and limited, the acquisition time needed is large as the entire dataset has to be acquired and then processed.In this paper, we present the first example of scanning based non-line-of-sight imaging technique. The key idea is that if the virtual sources (pulsed sources) on the wall are delayed using a quadratic delay profile (much like the quadratic phase of a focusing lens), then these pulses arrive at the same instant at a single point in the hidden volume - the point being scanned. On the imaging side, applying quadratic delays to the virtual detectors before integration on a single gated detector allows us to 'focus' and scan each point in the hidden volume. By changing the quadratic delay profiles, we can focus light at different points in the hidden volume. This provides the first example of scanning based non-line-of-sight imaging, allowing us to focus our measurements only in the region of interest. We derive the theoretical underpinnings of 'temporal focusing', show compelling simulations of performance analysis, build a hardware prototype system and demonstrate real results.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Computational Photography, ICCP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132631
DOIs
StatePublished - May 2019
Event2019 IEEE International Conference on Computational Photography, ICCP 2019 - Tokyo, Japan
Duration: May 15 2019May 17 2019

Publication series

Name2019 IEEE International Conference on Computational Photography, ICCP 2019

Conference

Conference2019 IEEE International Conference on Computational Photography, ICCP 2019
Country/TerritoryJapan
CityTokyo
Period05/15/1905/17/19

Keywords

  • computational photography
  • imaging around the corners
  • temporal focusing
  • time-of-flight cameras

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