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 language | English |
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Title of host publication | 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Publisher | IEEE |
ISBN (Electronic) | 9781728163277 |
DOIs | |
Publication status | Published - 5 May 2023 |
Event | 48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023 - Rhodes Island, Rhodes Island, Greece Duration: 4 Jun 2023 → 10 Jun 2023 Conference number: 48 https://2023.ieeeicassp.org/ https://2023.ieeeicassp.org |
Conference
Conference | 48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023 |
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Abbreviated title | ICASSP 2023 |
Country/Territory | Greece |
City | Rhodes Island |
Period | 4/06/23 → 10/06/23 |
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