Cargando…

Seeing around corners with edge-resolved transient imaging

Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in autonomous navigation, reconnaissance, and even medical imaging. The critical challenge of NLOS imaging is that diffuse reflections scatter light in...

Descripción completa

Detalles Bibliográficos
Autores principales: Rapp, Joshua, Saunders, Charles, Tachella, Julián, Murray-Bruce, John, Altmann, Yoann, Tourneret, Jean-Yves, McLaughlin, Stephen, Dawson, Robin M. A., Wong, Franco N. C., Goyal, Vivek K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683558/
https://www.ncbi.nlm.nih.gov/pubmed/33230217
http://dx.doi.org/10.1038/s41467-020-19727-4
_version_ 1783612905453780992
author Rapp, Joshua
Saunders, Charles
Tachella, Julián
Murray-Bruce, John
Altmann, Yoann
Tourneret, Jean-Yves
McLaughlin, Stephen
Dawson, Robin M. A.
Wong, Franco N. C.
Goyal, Vivek K.
author_facet Rapp, Joshua
Saunders, Charles
Tachella, Julián
Murray-Bruce, John
Altmann, Yoann
Tourneret, Jean-Yves
McLaughlin, Stephen
Dawson, Robin M. A.
Wong, Franco N. C.
Goyal, Vivek K.
author_sort Rapp, Joshua
collection PubMed
description Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in autonomous navigation, reconnaissance, and even medical imaging. The critical challenge of NLOS imaging is that diffuse reflections scatter light in all directions, resulting in weak signals and a loss of directional information. To address this problem, we propose a method for seeing around corners that derives angular resolution from vertical edges and longitudinal resolution from the temporal response to a pulsed light source. We introduce an acquisition strategy, scene response model, and reconstruction algorithm that enable the formation of 2.5-dimensional representations—a plan view plus heights—and a 180(∘) field of view for large-scale scenes. Our experiments demonstrate accurate reconstructions of hidden rooms up to 3 meters in each dimension despite a small scan aperture (1.5-centimeter radius) and only 45 measurement locations.
format Online
Article
Text
id pubmed-7683558
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-76835582020-12-03 Seeing around corners with edge-resolved transient imaging Rapp, Joshua Saunders, Charles Tachella, Julián Murray-Bruce, John Altmann, Yoann Tourneret, Jean-Yves McLaughlin, Stephen Dawson, Robin M. A. Wong, Franco N. C. Goyal, Vivek K. Nat Commun Article Non-line-of-sight (NLOS) imaging is a rapidly growing field seeking to form images of objects outside the field of view, with potential applications in autonomous navigation, reconnaissance, and even medical imaging. The critical challenge of NLOS imaging is that diffuse reflections scatter light in all directions, resulting in weak signals and a loss of directional information. To address this problem, we propose a method for seeing around corners that derives angular resolution from vertical edges and longitudinal resolution from the temporal response to a pulsed light source. We introduce an acquisition strategy, scene response model, and reconstruction algorithm that enable the formation of 2.5-dimensional representations—a plan view plus heights—and a 180(∘) field of view for large-scale scenes. Our experiments demonstrate accurate reconstructions of hidden rooms up to 3 meters in each dimension despite a small scan aperture (1.5-centimeter radius) and only 45 measurement locations. Nature Publishing Group UK 2020-11-23 /pmc/articles/PMC7683558/ /pubmed/33230217 http://dx.doi.org/10.1038/s41467-020-19727-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rapp, Joshua
Saunders, Charles
Tachella, Julián
Murray-Bruce, John
Altmann, Yoann
Tourneret, Jean-Yves
McLaughlin, Stephen
Dawson, Robin M. A.
Wong, Franco N. C.
Goyal, Vivek K.
Seeing around corners with edge-resolved transient imaging
title Seeing around corners with edge-resolved transient imaging
title_full Seeing around corners with edge-resolved transient imaging
title_fullStr Seeing around corners with edge-resolved transient imaging
title_full_unstemmed Seeing around corners with edge-resolved transient imaging
title_short Seeing around corners with edge-resolved transient imaging
title_sort seeing around corners with edge-resolved transient imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683558/
https://www.ncbi.nlm.nih.gov/pubmed/33230217
http://dx.doi.org/10.1038/s41467-020-19727-4
work_keys_str_mv AT rappjoshua seeingaroundcornerswithedgeresolvedtransientimaging
AT saunderscharles seeingaroundcornerswithedgeresolvedtransientimaging
AT tachellajulian seeingaroundcornerswithedgeresolvedtransientimaging
AT murraybrucejohn seeingaroundcornerswithedgeresolvedtransientimaging
AT altmannyoann seeingaroundcornerswithedgeresolvedtransientimaging
AT tourneretjeanyves seeingaroundcornerswithedgeresolvedtransientimaging
AT mclaughlinstephen seeingaroundcornerswithedgeresolvedtransientimaging
AT dawsonrobinma seeingaroundcornerswithedgeresolvedtransientimaging
AT wongfranconc seeingaroundcornerswithedgeresolvedtransientimaging
AT goyalvivekk seeingaroundcornerswithedgeresolvedtransientimaging