Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization

1 code implementation • 9 May 2023 • Clémentin Boittiaux, Claire Dune, Maxime Ferrera, Aurélien Arnaubec, Ricard Marxer, Marjolaine Matabos, Loïc Van Audenhaege, Vincent Hugel

This paper presents a new deep-sea dataset to benchmark underwater long-term visual localization.

Visual Localization

SUCRe: Leveraging Scene Structure for Underwater Color Restoration

1 code implementation • 18 Dec 2022 • Clémentin Boittiaux, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Maxime Ferrera, Vincent Hugel

Underwater images are altered by the physical characteristics of the medium through which light rays pass before reaching the optical sensor.

Homography-Based Loss Function for Camera Pose Regression

1 code implementation • 4 May 2022 • Clémentin Boittiaux, Ricard Marxer, Claire Dune, Aurélien Arnaubec, Vincent Hugel

This paper focuses on the loss functions that embed the error between two poses to perform deep learning based camera pose regression.

regression

Hyperspectral 3D Mapping of Underwater Environments

no code implementations • 13 Oct 2021 • Maxime Ferrera, Aurélien Arnaubec, Klemen Istenic, Nuno Gracias, Touria Bajjouk

Hyperspectral imaging has been increasingly used for underwater survey applications over the past years.

3D Reconstruction Simultaneous Localization and Mapping