G
Gilles Simon
Researcher at University of Lorraine
Publications - 64
Citations - 1154
Gilles Simon is an academic researcher from University of Lorraine. The author has contributed to research in topics: Augmented reality & Pose. The author has an hindex of 15, co-authored 58 publications receiving 1036 citations. Previous affiliations of Gilles Simon include French Institute for Research in Computer Science and Automation & University of Oxford.
Papers
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Proceedings ArticleDOI
Markerless tracking using planar structures in the scene
TL;DR: A markerless camera tracking system for augmented reality that operates in environments which contain one or more planes, which is a common special case, which it is shown significantly simplifies tracking.
Journal ArticleDOI
Pose estimation for planar structures
Gilles Simon,Marie-Odile Berger +1 more
TL;DR: The registration problem for interactive AR applications is addressed, and an efficient solution to real-time camera tracking for scenes that contain planar structures is proposed, which can consider many types of scene with its method.
Proceedings ArticleDOI
Reconstructing while registering: a novel approach for markerless augmented reality
Gilles Simon,Marie-Odile Berger +1 more
TL;DR: This paper addresses the registration problem for unprepared multi-planar scenes by proposing an interactive process to obtain accurate results using only the texture information of planes.
Proceedings ArticleDOI
An Augmented Reality Environment for Astronomy Learning in Elementary Grades: An Exploratory Study
Stéphanie Fleck,Gilles Simon +1 more
TL;DR: Results show that the AR environment is particularly suitable for astronomy learning compared to the physical one, and only AR users have developed scientific conceptions of the explored astronomical phenomena and learnings have been significantly improved.
Proceedings ArticleDOI
A two-stage robust statistical method for temporal registration from features of various type
Gilles Simon,Marie-Odile Berger +1 more
TL;DR: A model registration system capable of tracking an object, the model of which is known, in an image sequence is presented and is able to give a correct estimate of the pose even when tracking errors occur.