Jerome Charton


Research interests

    • Single- and Multi-modal 3D Scene Acquisition & Robust Geometry
      I am interested in developing methods to capture and reconstruct 3D scenes and objects from single- and multimodal data (RGB/-D, near-IR, LiDAR, surface and volume scans, and wearable devices), and to turn them into clean, simulation-ready and printable geometric models. This includes mesh repair, multi-view fusion, and representations that work reliably across virtual environments, 3D printing, and cultural heritage preservation (e.g., digitizing artifacts and historical sites for analysis, archiving, and reproduction).
      Human-Centered Virtual & XR Environments for Culture, Tourism & Education
      I study how humans perceive, explore, and act in complex visual and 3D environments, and use this knowledge to "mock" or mimic human behaviour in AI systems and robots. This involves gaze and attention modeling from eye-tracking, analysis of interaction patterns in virtual spaces, and behaviour templates for autonomous agents. The goal is to design XR interfaces, virtual museums, tourism and cultural-heritage experiences, and medical/educational visualizations whose navigation, feedback, and focus of attention are aligned with expert or user behaviour.
      Non-Invasive Multimodal Monitoring & Autonomous Systems in 3D
      I work on non-invasive monitoring and prevention by combining 3D understanding of scenes and anatomy with multimodal signals such as medical images, ECG, and wearable data. A central application is cardiopulmonary health, including pulmonary hypertension risk estimation and trajectory modeling from non-invasive inputs. In parallel, I am interested in behaviour-aware autonomous systems/robots and sensing setups that operate in real 3D environments to monitor posture, muscles' activities, and risk unobtrusively, supporting early intervention, long-term well-being, and continuous monitoring.
  • Current position

    Instructor of Investigation at Massachusetts General Hospital / Harvard Medical School - Center for Advanced Medical Computing and Analysis (CAMCA) - supervised by Prof. Quanzheng Li.

    Post-Doc

    Post-doc in Center for Bionics team at KIST - Korea Institute of Science and Technology (Seoul) - under the supervision of Youngjun Kim.

    Topic: Mesh processing in the context of Virtual Surgery Planning.

    Ph.D

    Assistant teacher/PhD in Image & Sound team, LaBRI (CNRS UMR 5800) - University of Bordeaux; advisors: Pascal Desbarats (LaBRI) and Stefka Gueorguieva (LaBRI).

    Topic: 3D Acquisition, reconstruction, and rapid prototyping of discrete surfaces by estimation of shape saliency characteristics.

    Thesis: FR

    In collabortion with
    Ausonius (UMR 5607 - Université Bordeaux III)  Pacea (UMR 5199 - Université Bordeaux I)  Loma : Laboratoire Ondes et Matière d'Aquitaine (UMR 5798 - Université Bordeaux I)  Service de Chirurgie Maxillo-Faciale (CHU Bordeaux)  Centre de recherche cardio thoracique de Bordeaux. INSERM(UMR 1045 - Université Bordeaux I)  Lamca : Laboratoire d'Anatomie Médico-Chirurcale Appliquée (UER III - Université Bordeaux II (Ségalen)) 

    Coordinates

    Mail: JS?

    Resumé: EN

    LinkedIn: https://www.linkedin.com/in/jerome-charton-dc137/