Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second

Ji Hyun Nam; Eric Brandt; Sebastian Bauer; Xiaochun Liu; Marco Renna; Alberto Tosi; Eftychios Sifakis; Andreas Velten

doi:10.1038/s41467-021-26721-x

Nature Communications (Nov 2021)

Low-latency time-of-flight non-line-of-sight imaging at 5 frames per second

Ji Hyun Nam,
Eric Brandt,
Sebastian Bauer,
Xiaochun Liu,
Marco Renna,
Alberto Tosi,
Eftychios Sifakis,
Andreas Velten

Affiliations

Ji Hyun Nam: Department of Electrical and Computer Engineering, University of Wisconsin – Madison
Eric Brandt: Department of Computer Science, University of Wisconsin – Madison
Sebastian Bauer: Department of Biostatistics and Medical Informatics, University of Wisconsin – Madison
Xiaochun Liu: Department of Electrical and Computer Engineering, University of Wisconsin – Madison
Marco Renna: Dipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano
Alberto Tosi: Dipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano
Eftychios Sifakis: Department of Computer Science, University of Wisconsin – Madison
Andreas Velten: Department of Electrical and Computer Engineering, University of Wisconsin – Madison

DOI: https://doi.org/10.1038/s41467-021-26721-x
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 10

Abstract

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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.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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