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MAGRIT-POST Research team
Visual Augmentation of Complex Environments
- Leader : Marie-odile Berger
- Type : team
- Research center(s) : Nancy
- Field : Perception, Cognition and Interaction
- Theme : Vision, perception and multimedia interpretation
- Inria teams are typically groups of researchers working on the definition of a common project, and objectives, with the goal to arrive at the creation of a project-team. Such project-teams may include other partners (universities or research institutions)
The MAGRIT project-team carries out researches in the field of computer vision, with a focus on augmented reality applications. Augmented reality is a relatively new field. It aims at augmenting the user's perception by adding in his field of view elements that improves his comprehension of his environment. Applications of this concept are plentiful and concern medical gesture assistance, learning and maintenance systems, cultural heritage, audiovisual... In order to integrate information at the right place in the user's field of view, whatever his motion, the observer's viewpoint has to be computed at every instant. Moreover, reconstructing, even partially, the observed environment is necessary to manage occlusions between the added objects and the scene or to take light interreflexions into account. Only elementary commercial applications of this concept exist to date. These applications are only effective in environments with limited user action which are furthermore often instrumented (landmarks). Many challenges remain to be tackled so as to address applications in complex environments.
The MAGRIT project-team research aims at proposing robust solutions to the two main issues faced in augmented reality: viewpoint computation and reconstruction of the scene elements necessary to set up the application. More precisely, our research themes deal with:
- sequential and real time viewpoint computation, in structured and unstructured environments
- manage long time running applications: one of the recurrent issues is viewpoint drift along time. Our objective is to improve the accuracy and
repeatability of viewpoint computation for long time running applications.
- 3D modeling for augmented reality applications: the problem is fundamental to handle interactions between the real and virtual worlds.
- information fusion: in any augmented reality application, careful thoughts must be taken about the saliency of the added information and about the best way to integrate it in the real image. This issue is key in the framework of our medical applications, where validation of the
augmented images is crucial.
International and industrial relations
- Industrial relationships: GE Healthcare
- European projects ARIS and ASPI.
- Close collaboration with other french or foreign labs: ENST, CAMP (TU Munich), Université de Manchester, Université de Bristol, IGD Darmstadt, ICCS-NTUA (Athens), KTH (Stokholm).
Research teams of the same theme :
- LINKMEDIA - Creating and exploiting explicit links between multimedia fragments
- MORPHEO - Capture and Analysis of Shapes in Motion
- PERCEPTION - Interpretation and Modelling of Images and Videos
- SIROCCO - Analysis representation, compression and communication of visual data
- STARS - Spatio-Temporal Activity Recognition Systems
- THOTH - Learning visual models from large-scale data
- WILLOW - Models of visual object recognition and scene understanding
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