Neural network identification of people hidden from view with a single-pixel, single-photon detectorPiergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias Hullin, Catherine F. Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio
Scientific Reports (Nature Publishing Group), 8, 11945; doi: 10.1038/s41598-018-30390-0, 2018.
We demonstrate a machine learning approach that can locate and identify people from time-resolved single-pixel measurements.
Computational Optical Sensing and Imaging, 2017.
We demonstrate the use of machine learning to classify temporal histograms of the light-echoes backscattered from bodies hidden from view around a corner, captured by a SPAD camera.
Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
We show that using multi-frequency time-of-flight measurements, five different white materials can be distinguished on a per-pixel basis.
ACM Transactions on Graphics (Proc. SIGGRAPH), 34 (4), 2015.
A new computational imaging system that captures metric radial velocity information per pixel -- think of a huge array of traffic speed guns that use light instead of radar.
Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination using Inexpensive Time-of-Flight SensorsFelix Heide, Lei Xiao, Wolfgang Heidrich and Matthias B. Hullin
Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
How to look around a corner using echoes of light, using low-end devices that can't even properly measure such data.
ACM Transactions on Graphics (Proc. SIGGRAPH), 32 (4), 2013.
A computational method for capturing videos of light in flight using consumer-grade imaging hardware.