Fast Multiscale 3D Reconstruction Using Single-Photon Lidar Data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
137 Downloads (Pure)

Abstract

Time-correlated single-photon technology is emerging as an important approach to 3D Imaging. This paper presents a reconstruction algorithm that exploits data statistics and multi-scale information to deliver clean depth and reflectivity images together with associated uncertainty maps. The statistical method has been implemented to run on graphics processing units (GPUs) that enable real-time reconstruction of moving scenes at more than 1000 depth frames per second on the 32 × 64 pixels real Quantic4x4 SPAD sensor array data. Comparisons with state-of-the-art algorithms on simulated and real data demonstrate the robust and efficient performance of the proposed method.
Original languageEnglish
Title of host publication2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
ISBN (Electronic)9781728163277
DOIs
Publication statusPublished - 5 May 2023
Event48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023 - Rhodes Island, Rhodes Island, Greece
Duration: 4 Jun 202310 Jun 2023
Conference number: 48
https://2023.ieeeicassp.org/
https://2023.ieeeicassp.org

Conference

Conference48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023
Abbreviated titleICASSP 2023
Country/TerritoryGreece
CityRhodes Island
Period4/06/2310/06/23
Internet address

Keywords

  • 3D reconstruction
  • GPUs
  • Lidar
  • Poisson noise
  • parallel coding
  • real-time estimation

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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