Fast Multiscale 3D Reconstruction Using Single-Photon Lidar Data
Sándor Plósz, István Gyöngy, Jonathan Leach, Steve McLaughlin, Gerald S. Buller, Abderrahim Halimi
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.
BibTeX
@inproceedings{icassp2023_fastmultiscale3d,
title = {Fast Multiscale 3D Reconstruction Using Single-Photon Lidar Data},
author = {Sándor Plósz and István Gyöngy and Jonathan Leach and Steve McLaughlin and Gerald S. Buller and Abderrahim Halimi},
booktitle = {ICASSP 2023},
year = {2023}
}