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Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging
Cameras with extreme speeds are enabling technologies in both fundamental and applied sciences. However, existing ultrafast cameras are incapable of coping with extended three-dimensional scenes and fall short for non-line-of-sight imaging, which requires a long sequence of time-resolved two-dimensi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041853/ https://www.ncbi.nlm.nih.gov/pubmed/33846338 http://dx.doi.org/10.1038/s41467-021-22461-0 |
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author | Feng, Xiaohua Gao, Liang |
author_facet | Feng, Xiaohua Gao, Liang |
author_sort | Feng, Xiaohua |
collection | PubMed |
description | Cameras with extreme speeds are enabling technologies in both fundamental and applied sciences. However, existing ultrafast cameras are incapable of coping with extended three-dimensional scenes and fall short for non-line-of-sight imaging, which requires a long sequence of time-resolved two-dimensional data. Current non-line-of-sight imagers, therefore, need to perform extensive scanning in the spatial and/or temporal dimension, restricting their use in imaging only static or slowly moving objects. To address these long-standing challenges, we present here ultrafast light field tomography (LIFT), a transient imaging strategy that offers a temporal sequence of over 1000 and enables highly efficient light field acquisition, allowing snapshot acquisition of the complete four-dimensional space and time. With LIFT, we demonstrated three-dimensional imaging of light in flight phenomena with a <10 picoseconds resolution and non-line-of-sight imaging at a 30 Hz video-rate. Furthermore, we showed how LIFT can benefit from deep learning for an improved and accelerated image formation. LIFT may facilitate broad adoption of time-resolved methods in various disciplines. |
format | Online Article Text |
id | pubmed-8041853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80418532021-04-30 Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging Feng, Xiaohua Gao, Liang Nat Commun Article Cameras with extreme speeds are enabling technologies in both fundamental and applied sciences. However, existing ultrafast cameras are incapable of coping with extended three-dimensional scenes and fall short for non-line-of-sight imaging, which requires a long sequence of time-resolved two-dimensional data. Current non-line-of-sight imagers, therefore, need to perform extensive scanning in the spatial and/or temporal dimension, restricting their use in imaging only static or slowly moving objects. To address these long-standing challenges, we present here ultrafast light field tomography (LIFT), a transient imaging strategy that offers a temporal sequence of over 1000 and enables highly efficient light field acquisition, allowing snapshot acquisition of the complete four-dimensional space and time. With LIFT, we demonstrated three-dimensional imaging of light in flight phenomena with a <10 picoseconds resolution and non-line-of-sight imaging at a 30 Hz video-rate. Furthermore, we showed how LIFT can benefit from deep learning for an improved and accelerated image formation. LIFT may facilitate broad adoption of time-resolved methods in various disciplines. Nature Publishing Group UK 2021-04-12 /pmc/articles/PMC8041853/ /pubmed/33846338 http://dx.doi.org/10.1038/s41467-021-22461-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Feng, Xiaohua Gao, Liang Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging |
title | Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging |
title_full | Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging |
title_fullStr | Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging |
title_full_unstemmed | Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging |
title_short | Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging |
title_sort | ultrafast light field tomography for snapshot transient and non-line-of-sight imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8041853/ https://www.ncbi.nlm.nih.gov/pubmed/33846338 http://dx.doi.org/10.1038/s41467-021-22461-0 |
work_keys_str_mv | AT fengxiaohua ultrafastlightfieldtomographyforsnapshottransientandnonlineofsightimaging AT gaoliang ultrafastlightfieldtomographyforsnapshottransientandnonlineofsightimaging |