Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second
Non-line-of-sight imaging can recover the 3D geometry of hidden objects, but is limited by weak multibounce signals. Here, the authors introduce a multipixel time-of-flight NLOS imaging approach, combining array detectors and a fast algorithm, for live reconstruction of natural nonretroreflective ob...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2021-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-26721-x |
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author | Ji Hyun Nam Eric Brandt Sebastian Bauer Xiaochun Liu Marco Renna Alberto Tosi Eftychios Sifakis Andreas Velten |
author_facet | Ji Hyun Nam Eric Brandt Sebastian Bauer Xiaochun Liu Marco Renna Alberto Tosi Eftychios Sifakis Andreas Velten |
author_sort | Ji Hyun Nam |
collection | DOAJ |
description | Non-line-of-sight imaging can recover the 3D geometry of hidden objects, but is limited by weak multibounce signals. Here, the authors introduce a multipixel time-of-flight NLOS imaging approach, combining array detectors and a fast algorithm, for live reconstruction of natural nonretroreflective objects. |
first_indexed | 2024-12-21T10:01:54Z |
format | Article |
id | doaj.art-0d5998e5325648349dcd9a7c0fa0d4d4 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-12-21T10:01:54Z |
publishDate | 2021-11-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-0d5998e5325648349dcd9a7c0fa0d4d42022-12-21T19:07:55ZengNature PortfolioNature Communications2041-17232021-11-0112111010.1038/s41467-021-26721-xLow-latency time-of-flight non-line-of-sight imaging at 5 frames per secondJi Hyun Nam0Eric Brandt1Sebastian Bauer2Xiaochun Liu3Marco Renna4Alberto Tosi5Eftychios Sifakis6Andreas Velten7Department of Electrical and Computer Engineering, University of Wisconsin – MadisonDepartment of Computer Science, University of Wisconsin – MadisonDepartment of Biostatistics and Medical Informatics, University of Wisconsin – MadisonDepartment of Electrical and Computer Engineering, University of Wisconsin – MadisonDipartimento di Elettronica Informazione e Bioingegneria, Politecnico di MilanoDipartimento di Elettronica Informazione e Bioingegneria, Politecnico di MilanoDepartment of Computer Science, University of Wisconsin – MadisonDepartment of Electrical and Computer Engineering, University of Wisconsin – MadisonNon-line-of-sight imaging can recover the 3D geometry of hidden objects, but is limited by weak multibounce signals. Here, the authors introduce a multipixel time-of-flight NLOS imaging approach, combining array detectors and a fast algorithm, for live reconstruction of natural nonretroreflective objects.https://doi.org/10.1038/s41467-021-26721-x |
spellingShingle | Ji Hyun Nam Eric Brandt Sebastian Bauer Xiaochun Liu Marco Renna Alberto Tosi Eftychios Sifakis Andreas Velten Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second Nature Communications |
title | Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second |
title_full | Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second |
title_fullStr | Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second |
title_full_unstemmed | Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second |
title_short | Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second |
title_sort | low latency time of flight non line of sight imaging at 5 frames per second |
url | https://doi.org/10.1038/s41467-021-26721-x |
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