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

作者：Caramazza Piergiorgio; Boccolini Alessandro; Buschek Daniel; Hullin Matthias; Higham Catherine F; Henderson Robert; Murray Smith Roderick; Faccio Daniele^*

来源：Scientific Reports, 2018, 8(1): 11945.

DOI：10.1038/s41598-018-30390-0

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.

• 出版日期2018-8-9