# Non-line-of-sight 3D imaging with a single-pixel camera

arXiv: https://arxiv.org/abs/1903.04812 · HTML: https://mlsanity.com/paper/1903.04812/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Mar 2019.

## Built on by (most cited first, 3 of 3)

- [Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision](https://mlsanity.com/paper/2109.08880/) (2021)
- [Deep Domain Adversarial Adaptation for Photon-efficient Imaging](https://mlsanity.com/paper/2201.02475/) (2022)
- [Playing Tic-Tac-Toe Games with Intelligent Single-pixel Imaging](https://mlsanity.com/paper/2205.03663/) (2022)

## Abstract (arXiv)

Real time, high resolution 3D reconstruction of scenes hidden from the direct field of view is a challenging field of research with applications in real-life situations related e.g. to surveillance, self-driving cars and rescue missions. Most current techniques recover the 3D structure of a non-lineof-sight (NLOS) static scene by detecting the return signal from the hidden object on a scattering observation area. Here, we demonstrate the full colour retrieval of the 3D shape of a hidden scene by coupling back-projection imaging algorithms with the high-resolution time-of-flight information provided by a single-pixel camera. By using a high effciency Single-Photon Avalanche Diode (SPAD) detector, this technique provides the advantage of imaging with no mechanical scanning parts, with acquisition times down to sub-seconds.