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 - teaser produit - bcom DICOM family

Interoperability, anonymization, and standardization

Annotate - teaser produit - bcom b<>com Annotate

A surgical workflow editor and analytics tool

scientific publications

03.13.2020

DynaLoc: Real-Time Camera Relocalization from a Single RGB Image in Dynamic Scenes based on an Adaptive Regression Forest

Camera relocalization is an important component in localization systems such as augmented reality or robotics when camera tracking loss occurs. It uses models built from known information of a scene. However, these models cannot perform in a dynamic environment which contains moving objects. In this paper, we propose an adaptive regression forest and apply it to our DynaLoc, a real-time camera…

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01.26.2021

TOM: a self-trained Tomography solution for Overlay networks Monitoring

Network tomography is a discipline that aims to infer the internal network characteristics from end-to-end correlated measurements performed at the network edge. This work presents a new tomography approach for link metrics inference in an SDN/NFV environment (even if it can be exported outside this field) that we called TOM (Tomography for Overlay networks Monitoring). In such an environment, we…

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11.14.2019

Efficient multi-output scene coordinate prediction for fast and accurate camera relocalization from a single RGB image

Camera relocalization refers to the problematic of the camera pose estimation including 3D translation and 3D rotation expressed in the world coordinate system with no temporal constraint. Camera relocalization is necessary in localization systems. However, it is still challenging to have both a real-time and accurate method. In this paper, we introduce our data-oriented hybrid method merging…

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03.04.2020

Assisted phase and step annotation for surgical videos

Purpose - Annotation of surgical videos is a time-consuming task which requires specific knowledge. In this paper, we present and evaluate a deep learning-based method that includes pre-annotation of the phases and steps in surgical videos and user assistance in the annotation process. Methods - We propose a classification function that automatically detects errors and infers temporal coherence…

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