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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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 |
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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 |
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