Name
Title | ||
|---|---|---|
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 combined in the presence of a target, to a... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCI.2016.2618323 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Bayes methods,Photonics,Imaging,Object detection,Estimation,Adaptation models,Markov processes | Stochastic optimization,Bayesian inference,Markov model,Markov chain,Algorithm,Model selection,Marginal likelihood,Hierarchical database model,Mathematics,Bayesian probability | Journal |
Volume | Issue | ISSN |
2 | 4 | 2573-0436 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoann Altmann | 1 | 229 | 22.58 |
| Ximing Ren | 2 | 12 | 3.14 |
| Aongus McCarthy | 3 | 21 | 5.42 |
| Gerald S. Buller | 4 | 31 | 8.26 |
| Stephen McLaughlin | 5 | 464 | 43.14 |