1 code implementation • 22 Dec 2023 • Joaquin Rodriguez, Lew-Fock-Chong Lew-Yan-Voon, Renato Martins, Olivier Morel
Polarization information of the light can provide rich cues for computer vision and scene understanding tasks, such as the type of material, pose, and shape of the objects.
1 code implementation • 29 Aug 2022 • Joaquin Rodriguez, Lew Lew-Yan-Voon, Renato Martins, Olivier Morel
In this paper, we propose a new method to overcome the need for complex optical systems to efficiently calibrate these cameras.
no code implementations • 24 Feb 2022 • Daniel Braun, Olivier Morel, Pascal Vasseur, Cédric Demonceaux
Monocular depth estimation has been a popular area of research for several years, especially since self-supervised networks have shown increasingly good results in bridging the gap with supervised and stereo methods.
no code implementations • 3 Jun 2021 • Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Fabrice Meriaudeau
Autonomous robotics is critically affected by the robustness of its scene understanding algorithms.
no code implementations • 15 Jul 2020 • Marc Blanchon, Désiré Sidibé, Olivier Morel, Ralph Seulin, Daniel Braun, Fabrice Meriaudeau
Monocular depth estimation is a recurring subject in the field of computer vision.
no code implementations • 22 May 2020 • Marc Blanchon, Olivier Morel, Fabrice Meriaudeau, Ralph Seulin, Désiré Sidibé
Robotics applications in urban environments are subject to obstacles that exhibit specular reflections hampering autonomous navigation.