3D reconstruction using single-photon Lidar data exploiting the widths of the returns

Julián Tachella, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Single-photon light detection and ranging (Lidar) data can be used to capture depth and intensity profiles of a 3D scene. In a general setting, the scenes can have an unknown number of surfaces per pixel (semi-transparent surfaces or outdoor measurements), high background noise (strong ambient illumination), can be acquired by systems with a broad instrumental response (non-parallel laser beam with respect to the target surface) and with possibly high attenuating media (underwater conditions). The existing methods generally tackle only a subset of these problems and can fail in a more general scenario. In this paper, we propose a new 3D reconstruction algorithm that can handle all the aforementioned difficulties. The novel algorithm estimates the broadening of the impulse response, considers the attenuation induced by scattering media, while allowing for multiple surfaces per pixel. A series of experiments performed in real long-range and underwater Lidar datasets demonstrate the performance of the proposed method.
LanguageEnglish
Title of host publicationInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2019
Publication statusAccepted/In press - 1 Feb 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing - Brighton, United Kingdom
Duration: 12 May 201917 May 2019

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated titleICASSP 2019
CountryUnited Kingdom
CityBrighton
Period12/05/1917/05/19

Fingerprint

photons
pixels
background noise
set theory
impulses
attenuation
illumination
laser beams
estimates
profiles
scattering

Cite this

Tachella, J., Altmann, Y., Tourneret, J-Y., & McLaughlin, S. (Accepted/In press). 3D reconstruction using single-photon Lidar data exploiting the widths of the returns. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2019
Tachella, Julián ; Altmann, Yoann ; Tourneret, Jean-Yves ; McLaughlin, Stephen. / 3D reconstruction using single-photon Lidar data exploiting the widths of the returns. International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2019. 2019.
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abstract = "Single-photon light detection and ranging (Lidar) data can be used to capture depth and intensity profiles of a 3D scene. In a general setting, the scenes can have an unknown number of surfaces per pixel (semi-transparent surfaces or outdoor measurements), high background noise (strong ambient illumination), can be acquired by systems with a broad instrumental response (non-parallel laser beam with respect to the target surface) and with possibly high attenuating media (underwater conditions). The existing methods generally tackle only a subset of these problems and can fail in a more general scenario. In this paper, we propose a new 3D reconstruction algorithm that can handle all the aforementioned difficulties. The novel algorithm estimates the broadening of the impulse response, considers the attenuation induced by scattering media, while allowing for multiple surfaces per pixel. A series of experiments performed in real long-range and underwater Lidar datasets demonstrate the performance of the proposed method.",
author = "Juli{\'a}n Tachella and Yoann Altmann and Jean-Yves Tourneret and Stephen McLaughlin",
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Tachella, J, Altmann, Y, Tourneret, J-Y & McLaughlin, S 2019, 3D reconstruction using single-photon Lidar data exploiting the widths of the returns. in International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2019. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, United Kingdom, 12/05/19.

3D reconstruction using single-photon Lidar data exploiting the widths of the returns. / Tachella, Julián; Altmann, Yoann; Tourneret, Jean-Yves; McLaughlin, Stephen.

International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2019. 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - 3D reconstruction using single-photon Lidar data exploiting the widths of the returns

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AU - Tourneret, Jean-Yves

AU - McLaughlin, Stephen

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M3 - Conference contribution

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Tachella J, Altmann Y, Tourneret J-Y, McLaughlin S. 3D reconstruction using single-photon Lidar data exploiting the widths of the returns. In International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2019. 2019