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Single-Pixel Near-Infrared 3D Image Reconstruction in Outdoor Conditions.

C Osorio Quero1, D Durini1, J Rangel-Magdaleno1

  • 1Electronics Department, Instituto Nacional de Astrofísica, Óptica y Electrónica-INAOE, Calle Luis Enrique Erro 1, Puebla 72840, Mexico.

Micromachines
|May 28, 2022
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Summary
This summary is machine-generated.

This study introduces a new method for generating 3D images in fog using single-pixel imaging and Time-of-Flight sensors. This approach enhances 3D vision capabilities in adverse weather conditions.

Keywords:
3D imagingHadamard patternsNIRShape-from-Shading (SFS)Time-of-Flight (ToF)fogsingle-pixel imaging (SPI)

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Area of Science:

  • Computer Vision
  • Optical Sensing
  • 3D Imaging

Background:

  • Advanced vision systems struggle with 3D image capture in adverse weather.
  • Infrared (IR) sensors offer improved object discrimination in fog and rain due to reduced light scattering.
  • Existing techniques for low-visibility imaging often rely on IR spectrum sensors.

Purpose of the Study:

  • To propose a novel method for 3D image generation in foggy conditions.
  • To combine single-pixel imaging (SPI) with Time-of-Flight (ToF) at 1550 nm for active illumination.
  • To evaluate the performance of the proposed system in simulated adverse weather.

Main Methods:

  • Utilized single-pixel imaging (SPI) with active illumination.
  • Integrated Time-of-Flight (ToF) technique at 1550 nm wavelength for depth information.
  • Employed space-filling projection with compressed sensing (CS-SRCNN) for 3D image reconstruction.

Main Results:

  • Successfully generated 3D images in simulated foggy environments.
  • Demonstrated the effectiveness of the combined SPI and ToF approach.
  • Quantified image quality parameters under varying fog densities and illumination.

Conclusions:

  • The proposed SPI and ToF active illumination method enables 3D image generation in fog.
  • This technique shows promise for improving vision systems in challenging weather conditions.
  • The developed system provides a viable solution for 3D perception in low-visibility scenarios.