Spatial images from temporal data
Abstract
Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light). Removal of the spatial structure in the detector or illumination, i.e., imaging with just a single-point sensor, would require solving a very strongly ill-posed inverse retrieval problem that to date has not been solved. Here, we demonstrate a data-driven approach in which full 3D information is obtained with just a single-point, single-photon avalanche diode that records the arrival time of photons reflected from a scene that is illuminated with short pulses of light. Imaging with single-point time-of-flight (temporal) data opens new routes in terms of speed, size, and functionality. As an example, we show how the training based on an optical time-of-flight camera enables a compact radio-frequency impulse radio detection and ranging transceiver to provide 3D images.
Cite
@article{arxiv.1912.01413,
title = {Spatial images from temporal data},
author = {Alex Turpin and Gabriella Musarra and Valentin Kapitany and Francesco Tonolini and Ashley Lyons and Ilya Starshynov and Federica Villa and Enrico Conca and Francesco Fioranelli and Roderick Murray-Smith and Daniele Faccio},
journal= {arXiv preprint arXiv:1912.01413},
year = {2020}
}
Comments
This is the final version as published in Optica Vol. 7, Issue 8, pp. 900-905 (2020)