Restoration of Multidimensional Sparse Single-Photon 3D-LiDAR Images
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Restoration of Multidimensional Sparse Single-Photon 3D-LiDAR Images
Thu, 21/03/2019 - 11:00 to 12:00
Location:
Speaker:
Dr Abderrahim Halimi
Affiliation:
ISSS
Synopsis:
The challenges of real-world applications of the laser detection and ranging (Lidar) three-dimensional (3D) imaging re- quire specialized algorithms. This paper presents a new algorithm for the restoration of single-photon 3D Lidar images obtained when the returned signal may contain multiple peaks due to imaging semi-transparent surfaces, or when imaging through obscurants such as scattering media. A generalization to the multidimensional case, including multispectral and multitemporal 3D images, is also provided. The approach is based on the minimization of a cost function accounting for Poissonian observations of the single-photon data, the non-local spatial correlations between pixels and the small number of depth layers inside the observed range window. An alternating direction method of multipliers (ADMM) that offers good convergence properties is used to solve this minimization problem. The resulting algorithm is validated on synthetic and real data and in challenging realistic scenarios including sparse photon regimes for fast imaging, the presence of high background due to obscurants, and the joint processing of multispectral and/or multitemporal data.
Biography:
Dr Abderrahim Halimi received the Eng. degree in Electronic from the National Polytechnic school of Algiers, Algeria, in 2009 and the M.Sc. and Ph.D. degrees in Signal Processing from the National Polytechnic Institute of Toulouse in 2010 and 2013, respectively. From October 2013 to September 2015, He was a Post-Doctoral Research Associate with the University of Toulouse and the University of Technology of Troyes, France, under the support of the HYPANEMA ANR Project. From 2015 to 2018, He was a Post-Doctoral Research Associate within the Institute of Photonics and Quantum Sciences at Heriot-Watt University. Since 2018, He is an Assistant Professor and RAEng Research Fellow within the School of Engineering and Physical Sciences in Heriot-Watt University.
His research activities focus on statistical signal and image processing, with a particular interest in Bayesian inverse problems with applications to remote sensing (hyperspectral imaging, satellite altimetry), single-photon depth imaging and medical imaging. He obtained several awards including a PhD prize, an SRP-PECRE fund, and he is currently the recipient of a 5 years Research Fellowship from the Royal Academy of Engineering.