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arXiv · 1709.07244

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

Piergiorgio Caramazza·Alessandro Boccolini·Daniel Buschek·Matthias Hullin·Catherine Higham·Robert Henderson·Roderick Murray-Smith·Daniele Faccio
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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 an 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

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Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias Hullin, Catherine Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio. 2017-09-21. Neural network identification of people hidden from view with a single-pixel, single-photon detector. https://arxiv.org/abs/1709.07244

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