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Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers.

Julián Tachella1, Yoann Altmann2, Nicolas Mellado3

  • 1School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK.

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We developed a new computational framework for real-time 3D scene reconstruction using single-photon lidar. This method significantly reduces data analysis time, enabling rapid 3D imaging in challenging conditions.

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Area of Science:

  • Optics and Photonics
  • Computer Vision
  • Computational Imaging

Background:

  • Single-photon lidar offers potential for depth imaging in challenging environments.
  • A key limitation has been the extensive time required for data analysis.
  • Real-time processing is crucial for practical lidar applications.

Purpose of the Study:

  • To introduce a novel computational framework for real-time 3D scene reconstruction from single-photon lidar data.
  • To overcome the time limitations associated with analyzing single-photon lidar data.
  • To enable robust 3D imaging through cluttered environments and moving scenes.

Main Methods:

  • Developed a computational framework integrating statistical models and scalable computer graphics tools.
  • Applied the framework to process single-photon lidar data acquired in daylight up to 320 meters.
  • The method handles an unknown number of surfaces per pixel for enhanced target detection.

Main Results:

  • Achieved real-time 3D scene reconstruction with processing times around 20 milliseconds.
  • Demonstrated successful reconstruction of complex outdoor scenes.
  • Enabled imaging through cluttered scenes by handling multi-surface pixels.

Conclusions:

  • The new framework enables real-time 3D reconstruction from single-photon lidar data.
  • This advancement significantly reduces processing time, making lidar practical for complex applications.
  • Paves the way for single-photon lidar operating at video rates for real-world 3D imaging.