Search Results for author: Daniele Faccio

Found 7 papers, 1 papers with code

3D imaging from multipath temporal echoes

no code implementations17 Nov 2020 Alex Turpin, Valentin Kapitany, Jack Radford, Davide Rovelli, Kevin Mitchell, Ashley Lyons, Ilya Starshynov, Daniele Faccio

Echo-location is a broad approach to imaging and sensing that includes both man-made RADAR, LIDAR, SONAR and also animal navigation.

Spatial images from temporal data

no code implementations2 Dec 2019 Alex Turpin, Gabriella Musarra, Valentin Kapitany, Francesco Tonolini, Ashley Lyons, Ilya Starshynov, Federica Villa, Enrico Conca, Francesco Fioranelli, Roderick Murray-Smith, Daniele Faccio

Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light).

Variational Inference for Computational Imaging Inverse Problems

no code implementations12 Apr 2019 Francesco Tonolini, Jack Radford, Alex Turpin, Daniele Faccio, Roderick Murray-Smith

In such a way, Bayesian machine learning models can solve imaging inverse problems with minimal data collection efforts.

Image Reconstruction Variational Inference

Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres

1 code implementation NeurIPS 2018 Oisín Moran, Piergiorgio Caramazza, Daniele Faccio, Roderick Murray-Smith

We generated experimental data based on collections of optical fibre responses to greyscale input images generated with coherent light, by measuring only image amplitude (not amplitude and phase as is typical) at the output of \SI{1}{\metre} and \SI{10}{\metre} long, \SI{105}{\micro\metre} diameter multimode fibre.

Ghost imaging with the human eye

no code implementations13 Aug 2018 Alessandro Boccolini, Alessandro Fedrizzi, Daniele Faccio

Computational ghost imaging relies on the decomposition of an image into patterns that are summed together with weights that measure the overlap of each pattern with the scene being imaged.

Non-line-of-sight tracking of people at long range

no code implementations2 Mar 2017 Susan Chan, Ryan E. Warburton, Genevieve Gariepy, Jonathan Leach, Daniele Faccio

A remote-sensing system that can determine the position of hidden objects has applications in many critical real-life scenarios, such as search and rescue missions and safe autonomous driving.

Autonomous Driving

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