From 2D to 3D: AISG-SLA Visual Localization Challenge

no code implementations • 26 Jul 2024 • Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Wee Siong Ng, See-Kiong Ng, Hui Ying Teo, Victor Khoo, Georg Bökman, Johan Edstedt, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev

To tackle these challenges, we organized the AISG-SLA Visual Localization Challenge (VLC) at IJCAI 2023 to explore how AI can accurately extract camera pose data from 2D images in 3D space.

Pose Estimation Position +1

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