36 citations · 60 across the 6 of their papers we have counts for
10 papers · 1 filter
A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems
Jakeoung Koo, Abderrahim Halimi, Stephen McLaughlin
Deploying 3D single-photon Lidar imaging in real world applications faces multiple challenges including imaging in high noise environments. Several algorithms have been proposed to…
Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data
Mohamed Amir Alaa Belmekki, Rachael Tobin, Gerald S. Buller +2
3D single-photon LiDAR imaging plays an important role in numerous applications. However, long acquisition times and significant data volumes present a challenge to LiDAR imaging.…
Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging
Abderrahim Halimi, Aurora Maccarone, Robert Lamb +2
3D Lidar imaging can be a challenging modality when using multiple wavelengths, or when imaging in high noise environments (e.g., imaging through obscurants). This paper presents a…
Robust super-resolution depth imaging via a multi-feature fusion deep network
Alice Ruget, Stephen McLaughlin, Robert K. Henderson +3
Three-dimensional imaging plays an important role in imaging applications where it is necessary to record depth. The number of applications that use depth imaging is increasing rap…
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences
Quentin Legros, Julian Tachella, Rachael Tobin +6
In this paper, we present a new algorithm for fast, online 3D reconstruction of dynamic scenes using times of arrival of photons recorded by single-photon detector arrays. One of t…
EM-based approach to 3D reconstruction from single-waveform multispectral Lidar data
Quentin Legros, Sylvain Meignen, Stephen McLaughlin +1
In this paper, we present a novel Bayesian approach for estimating spectral and range profiles from single-photon Lidar waveforms associated with single surfaces in the photon-limi…