Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data

Abstract

This paper presents a new Bayesian model and associated algorithm for depth and intensity profiling using full waveforms from time-correlated single-photon counting measurements in the limit of very low photon counts (i.e., typically less than 20 photons per pixel). The model represents each Lidar waveform as an unknown constant background level, which is… (More)
DOI: 10.1109/TCI.2016.2618323

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Cite this paper

@article{Altmann2016RobustBT, title={Robust Bayesian Target Detection Algorithm for Depth Imaging From Sparse Single-Photon Data}, author={Yoann Altmann and Ximing Ren and Aongus McCarthy and Gerald S. Buller and Steve McLaughlin}, journal={IEEE Transactions on Computational Imaging}, year={2016}, volume={2}, pages={456-467} }