Neural network identification of people hidden from view with a single-pixel, single-photon detector

Caramazza, P., Boccolini, A., Buschek, D., Hullin, M., Higham, C. F., Henderson, R., Murray-Smith, R. and Faccio, D. (2018) Neural network identification of people hidden from view with a single-pixel, single-photon detector. Scientific Reports, 8, 11945. (doi:10.1038/s41598-018-30390-0) (PMID:30093701) (PMCID:PMC6085360)

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Abstract

Light scattered from multiple surfaces can be used to retrieve information of hidden environments. However, full three-dimensional retrieval of an object hidden from view by a wall has only been achieved with scanning systems and requires intensive computational processing of the retrieved data. Here we use a non-scanning, single-photon single-pixel detector in combination with a deep convolutional artificial neural network: this allows us to locate the position and to also simultaneously provide the actual identity of a hidden person, chosen from a database of people (N = 3). Artificial neural networks applied to specific computational imaging problems can therefore enable novel imaging capabilities with hugely simplified hardware and processing times.

Item Type:Articles
Additional Information:M.H. acknowledges funding from the German Research Foundation (DFG, HU-2273/2-1) and the X-Rite Chair for Digital Material Appearance.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Murray-Smith, Professor Roderick and Higham, Dr Catherine and Buschek, Daniel and Caramazza, Piergiorgio and Faccio, Professor Daniele
Authors: Caramazza, P., Boccolini, A., Buschek, D., Hullin, M., Higham, C. F., Henderson, R., Murray-Smith, R., and Faccio, D.
College/School:College of Science and Engineering > School of Computing Science
College of Science and Engineering > School of Physics and Astronomy
Journal Name:Scientific Reports
Publisher:Nature Publishing Group
ISSN:2045-2322
ISSN (Online):2045-2322
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Scientific Reports 8:11945
Publisher Policy:Reproduced under a Creative Commons License
Related URLs:
Data DOI:10.17861/c9ec32bf-0ff2-4b9f-a48a-5ee2aed59c61

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
6672319UK Quantum Technology Hub in Enhanced Quantum ImagingMiles PadgettEngineering and Physical Sciences Research Council (EPSRC)EP/M01326X/1S&E P&A - PHYSICS & ASTRONOMY