Most of tomorrow's audio-visual formats increase the feeling of immersion in the content. The challenge is to transform the end user's experience by immersing him in the heart of the action or information. At the same time, computer vision technologies (augmented reality, virtual reality, volumetric video, etc.) are fed by progress in artificial intelligence. They are revolutionizing many industrial sectors by offering a new perception of the environment.
The Image Vision & Immersion laboratory builds tools that enable the adoption of these new technologies by professionals and the general public. It delivers expertise and technological bricks related to the characteristics and dimensions of the image (resolution, colorimetry, exposure, segmentation, compression...), sound (spatialization), and new rendering devices (screen, projection, headsets, and glasses for AR/VR in 3 or 6 degrees of freedom, holography...). These technologies allow the company to address different fields of application, from industry to medicine (in particular with industrial holography, augmented reality for health, etc.), from entertainment (television, cinema, etc.) to serious gaming (training, institutional, etc.), by placing the user at the heart of its thinking and its work, from the definition of needs to the use of the proposed solutions.
The progress offered by new technologies, thanks to artificial intelligence, opens up unsuspected prospects for innovation in all fields that use image or sound, environmental modeling, or rendering from 2D to extended reality.
03.15.2024
Introduction Dans les situations infectieuses impliquant une hospitalisation, l'obtention d'une concentration sanguine efficace d'antibiotique constitue un enjeu qui passe par le choix d'une posologie adaptée. Si un pharmacologue peut être sollicité afin de tenir compte des caractéristiques individuelles, sa démarche d'adaptation posologique repose encore sur des principes très généraux. L…
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01.15.2024
PS-NET: an end-to-end phase space depth estimation approach for computer-generated holograms
In the present work, an end-to-end approach is proposed for recovering an RGB-D scene representation directly from a hologram using its phase space representation. The proposed method involves four steps. First, a set of silhouette images is extracted from the hologram phase space representation. Second, a minimal 3D volume that describes these silhouettes is extracted. Third, the extracted 3D…
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12.18.2023
Holographic Near-eye Display with Real-time Embedded Rendering
We present a wearable full-color holographic augmented reality headset with binocular vision support and real-time embedded hologram calculation. Contrarily to most previously proposed prototypes, our headset employs high-speed amplitude-only microdisplays and embeds a compact and lightweight electronic board to drive and synchronize the microdisplays and light source engines. In addition, to…
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10.03.2023
Self-Supervised Focus Measure Fusing for Depth Estimation from Computer-Generated Holograms
Depth from focus is a simple and effective methodology for retrieving the scene geometry from a hologram when used with the appropriate focus measure and patch size. However, fixing those parameters for every sample may not be the right choice, as different scenes can be composed with various types of textures. In this work, we propose a self-supervised learning methodology for fusing the depth…
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2019
Product of the Year at NAB Show de Las Vegas
2017
Technology Innovation Award at NAB Show de Las Vegas
