Time-encoded single-pixel 3D imaging

Jiajie Teng,Qiang Guo,Hongwei Chen,Minghua Chen,Sigang Yang

doi:10.1063/1.5139924

Abstract

With the increasing attention in single pixel imaging and three dimensional (3D) measurement, several effective single-pixel 3D imaging (SPI-3D) systems have been put forward, which are capable of retrieving the 3D form of an object. However, for a dynamic 3D scene that occurs within several microseconds, these SPI-3D systems have encountered multiple speed limitations from active illumination devices and decoding algorithms. Here, a time-encoded single-pixel 3D (TESP-3D) imaging method is proposed, which employs an active one dimensional infrared time-encoded projector and four single-pixel detectors to acquire the 3D information on dynamic targets with a line rate of up to 500 000 Hz. As a proof of concept, we demonstrate 3D line-scanning imaging on fast moving objects with a velocity of 25 m/s. TESP-3D is a promising method for industrial on-line 3D inspection and high throughput 3D screening.

Highlights

In recent years, the single-pixel imaging (SPI) technique has been exploited in various imaging areas such as remote sensing,1,2 terahertz imaging,3 fluorescence microscopy,4,5 and three dimensional (3D) imaging.6–8 With the advances of efficient compression algorithms and continuous breakthroughs in computing performance, a simpler and cheaper single-pixel detector (SPD) is gradually replacing the conventional pixelated cameras in some imaging areas
To expand the application of single-pixel 3D imaging (SPI-3D) systems in the dynamic 3D detection, we propose a new scheme, named time-encoded single-pixel 3D (TESP-3D) imaging system
In the experiment, the material of the surface may influence the imaging performance, especially for some objects made of transparent or semitransparent material, which will weaken the backscattering signal detected by the SPD and yield a low signal noise ratio (SNR)

Summary

Introduction

The single-pixel imaging (SPI) technique has been exploited in various imaging areas such as remote sensing, terahertz imaging, fluorescence microscopy, and three dimensional (3D) imaging. With the advances of efficient compression algorithms and continuous breakthroughs in computing performance, a simpler and cheaper single-pixel detector (SPD) is gradually replacing the conventional pixelated cameras in some imaging areas. The single-pixel imaging (SPI) technique has been exploited in various imaging areas such as remote sensing, terahertz imaging, fluorescence microscopy, and three dimensional (3D) imaging.. With the advances of efficient compression algorithms and continuous breakthroughs in computing performance, a simpler and cheaper single-pixel detector (SPD) is gradually replacing the conventional pixelated cameras in some imaging areas. As a typical SPI system, it generally consists of an active illumination encoder, a simple bucket detector, and compressive algorithms for imaging reconstruction. Such a system framework effectively simplifies the traditional optical imaging system with a series of imaging lenses and a large-scale photodetector array. In some imaging scenes, there is still a trade-off between the high-quality reconstructions and the limited imaging speed.

Methods

Results

Conclusion