Immersive & Medical Technologies

Augmented reality is upending many industrial sectors by offering a new way to perceive the environment.

Labo bcom - technologies immersives — © Fred Pieau

Healthcare applications are one promising example.

With its expertise in computer vision, pose estimation, and 3D visualization, the Immersive & Medical Technologies lab designs components and platforms to augment the experiences of professionals and strengthen their effectiveness, particularly through augmented reality and virtual reality, in fields like industry and health. Users are at the heart of its thinking and its work, from the definition of needs to the testing of developed technologies. In the field of health care, the lab works with its medical partners on key technologies like image processing and medical videos, connectivity, and interoperability.

products & services

DICOM family

Interoperability, anonymization, and standardization

b<>com Annotate

A surgical workflow editor and analytics tool

scientific publications

02.25.2019

Online Sparse Scene Coordinates Learning for Real-Time Camera Relocalization

Camera relocalization refers to the problematics of defining the camera pose in known scenes. It is needed in several applications such as augmented reality or robot navigation. However, current camera relocalization systems require an off-line step, that uses the labeled images to construct a scene model. This step takes time, so that is difficult to apply in the augmented reality applications…

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07.06.2018

Relocalisation Robuste de Caméra en Temps Réel pour la Réalité Augmentée par une Approche Hybride combinant Réseaux de Neurones et Méthodes Géométriques

La relocalisation des caméras se signale comme une pro-blématique centrale dans le domaine émergent de la réalité augmentée. Les approches les plus courantes pour la trai-ter, regroupées sous l'appellation générique de méthodes géométriques, ont pour noms SLAM (Simultaneous Locali-zation And Mapping) et SfM (Structure from Motion). Les rapides progrès de l'apprentissage automatique, en par…

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11.29.2017

Collaborators Awareness for User Cohabitation in Co-located Collaborative Virtual Environments

In a co-located collaborative virtual environment, multiple users share the same physical tracked space and the same virtual workspace. When the virtual workspace is larger than the real workspace, navigation interaction techniques must be deployed to let the users explore the entire virtual environment. When a user navigates in the virtual space while remaining static in the real space, his/her…

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02.25.2019

Decision Forest For Efficient and Robust Camera Relocalization

To robustly estimate the pose, classical methods assume some geometrical and temporal assumptions (SfM: Structure from Motion , SLAM: Simultaneous Localization and mapping). These approaches take a pair of images as input and establish correspondences based on global strategy (using the whole image information) or sparse strategy (using key-points features). These correspondences allow solving a…

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