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.

This is the final version as published in Optica Vol. 7, Issue 8, pp. 900-905 (2020)

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Cited by in corpus (7)

• Self-evolving ghost imaging
• Adaptive 3D descattering with a dynamic synthesis network
• 3D imaging from multipath temporal echoes
• Single photon imaging and sensing of obscured objects around the corner
• Video super-resolution for single-photon LIDAR
• Single-pixel 3D imaging based on fusion temporal data of single photon detector and millimeter-wave radar
• High-speed object detection with a single-photon time-of-flight image sensor