3D Target Detection and Spectral Classification for Single-photon LiDAR Data

no code implementations • 20 Feb 2023 • Mohamed Amir Alaa Belmekki, Jonathan Leach, Rachael Tobin, Gerald S. Buller, Stephen McLaughlin, Abderrahim Halimi

3D single-photon LiDAR imaging has an important role in many applications.

3D Reconstruction

Fast Task-Based Adaptive Sampling for 3D Single-Photon Multispectral Lidar Data

no code implementations • 3 Sep 2021 • Mohamed Amir Alaa Belmekki, Rachael Tobin, Gerald S. Buller, Stephen McLaughlin, Abderrahim Halimi

Given a task of interest, the iterative sampling strategy targets the most informative regions of a scene which are defined as those minimizing parameter uncertainties.

Robust and Guided Bayesian Reconstruction of Single-Photon 3D Lidar Data: Application to Multispectral and Underwater Imaging

no code implementations • 18 Mar 2021 • Abderrahim Halimi, Aurora Maccarone, Robert Lamb, Gerald S. Buller, Stephen McLaughlin

3D Lidar imaging can be a challenging modality when using multiple wavelengths, or when imaging in high noise environments (e. g., imaging through obscurants).

Decision Making

Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences

no code implementations • 20 Apr 2020 • Quentin Legros, Julian Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies

In this work, we consider a new similarity measure for robust depth estimation, which allows us to use a simple observation model and a non-iterative estimation procedure while being robust to mis-specification of the background illumination model.

3D Reconstruction Depth Estimation