Imaging around corners with single-pixel detector by computational ghost imaging

TL;DR

This paper introduces a single-pixel camera system that uses computational ghost imaging to visualize objects around corners, enabling imaging in scenarios where direct line-of-sight is obstructed.

Contribution

The work presents a novel single-pixel imaging method for around-corner visualization using ghost imaging principles, expanding the capabilities of non-line-of-sight imaging.

Findings

Successful demonstration of imaging around corners

Validation of ghost imaging with a single-pixel detector

Potential for applications in obstructed environments

Abstract

We have designed a single-pixel camera with imaging around corners based on computational ghost imaging. It can obtain the image of an object when the camera cannot look at the object directly. Our imaging system explores the fact that a bucket detector in a ghost imaging setup has no spatial resolution capability. A series of experiments have been designed to confirm our predictions. This camera has potential applications for imaging around corner or other similar environments where the object cannot be observed directly.