no code implementations • 17 Sep 2022 • Matthieu Zins, Gilles Simon, Marie-Odile Berger
Our fully automatic system allows on-the-fly object mapping and enhanced pose tracking recovery, which we think, can significantly benefit to the AR community.
no code implementations • 26 Aug 2022 • Vincent Gaudillière, Gilles Simon, Marie-Odile Berger
In computer vision, camera pose estimation from correspondences between 3D geometric entities and their projections into the image has been a widely investigated problem.
no code implementations • 16 Jul 2022 • Matthieu Zins, Gilles Simon, Marie-Odile Berger
In this paper, we propose an object-based camera pose estimation from a single RGB image and a pre-built map of objects, represented with ellipsoidal models.
no code implementations • 9 Mar 2022 • Matthieu Zins, Gilles Simon, Marie-Odile Berger
In this paper, we propose a method for initial camera pose estimation from just a single image which is robust to viewing conditions and does not require a detailed model of the scene.
1 code implementation • 24 May 2021 • Matthieu Zins, Gilles Simon, Marie-Odile Berger
In this paper, we propose a method for coarse camera pose computation which is robust to viewing conditions and does not require a detailed model of the scene.
no code implementations • 13 Dec 2019 • Jaime Garcia Guevara, Igor Peterlik, Marie-Odile Berger, Stéphane Cotin
ACGM is better than the previous Biomechanical Graph Matching method 3 (BGM) because it uses an efficient biomechanical vascularized liver model to compute the organ's transformation and the vessels bifurcations compliance.
no code implementations • 25 Nov 2018 • Antoine Fond, Marie-Odile Berger, Gilles Simon
This paper presents an efficient approach for solving jointly facade registration and semantic segmentation.
1 code implementation • ECCV 2018 • Gilles Simon, Antoine Fond, Marie-Odile Berger
We show that, in images of man-made environments, the horizon line can usually be hypothesized based on an a contrario detection of second-order grouping events.
Ranked #1 on Horizon Line Estimation on York Urban Dataset