La réalité augmentée bouleverse de nombreux secteurs industriels en offrant une nouvelle perception de l’environnement.
Par son expertise en vision par ordinateur, estimation de pose et visualisation 3D, le laboratoire Technologies Immersives & Médicales conçoit composants et plateformes pour augmenter les expériences des professionnels et renforcer leur efficacité, notamment grâce à la réalité augmentée et la réalité virtuelle, dans des domaines tels que l’industrie et la santé. L’utilisateur est au cœur de sa réflexion et de ses travaux, depuis la définition des besoins jusqu’à la confrontation à l’usage des technologies développées. Dans le domaine de la santé, le laboratoire travaille, avec ses partenaires médicaux, sur des technologies clefs telles que le traitement des images et des vidéos médicales, la connectivité ou l’interopérabilité.
07.11.2016
Unconstrained Gaze Estimation Using Random Forest Regression Voting
In this paper we address the problem of automatic gaze estimation using a depth sensor under unconstrained head pose motion and large user-sensor distances. To achieve robustness, we formulate this problem as a regression problem. To solve the task in hand, we propose to use a regression forest according to their high ability of generalization by handling large training set. We train our trees on…
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07.11.2016
Head Pose Free 3D Gaze Estimation Using RGB-D Camera
In this paper, we propose an approach for 3D gaze estimation under head pose variation using RGB-D camera. Our method uses a 3D eye model to determine the 3D optical axis and infer the 3D visual axis. For this, we estimate robustly user head pose parameters and eye pupil locations with an ensembles of randomized trees trained with an important annotated training sets. After projecting eye pupil…
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04.11.2016
Awareness Model for Asymmetric Remote Collaboration in Mixed Reality
Being able to collaborate remotely with other people can provide valuable capabilities in performing tasks that require multiple users to be achieved. Moreover, Mixed Reality (MR) technologies are great tools to develop new kinds of applications with more natural interactions and perception abilities compared to classical desktop setups. In this thesis, we propose to improve remote collaboration…
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02.11.2016
Plasticity for User Interfaces in Mixed Reality
This PhD thesis focuses on plasticity for Mixed Reality (MR) User interfaces, which includes Virtual Reality (VR), Augmented Reality (AR) and Augmented Virtuality (AV) applications. Plasticity refers to the capacity of an interactive system to withstand variations of both the system physical characteristics and the environment while preserving its usability. Usability continuity of a plastic…
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