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Institut Image – Le2i

Communication avec acte
Auteur
MARSH, William Eric
AYKENT, Baris
MARTINEZ, Jean-Luc
ccMERIENNE, Frédéric
22594 Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]

URI
http://hdl.handle.net/10985/10224
Date
2015

Résumé

Institut Image is a department of Arts et Métiers ParisTech developing virtual reality (VR) for teaching, research, and innovation. The research team is composed of 30 people (teacher- researchers, engineers, PhD students) and is part of Le2i laboratory (CNRS lab). Institut Image hosts a master research program (15 students) and innovates through its technological platform PeTRiiV. Research activities are developed in strong relationship with industry. Several collaborative research programs are performed, including the VARI3 and Si2M projects presented briefly in this paper.

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  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Training-based on real-time motion evaluation for functional rehabilitation in virtual environment 
    Article dans une revue avec comité de lecture
    NGUYEN, Van-Hanh; MARTINEZ, Jean-Luc; ccMERIENNE, Frédéric (World Scientific Publishing, 2010)
    One of the most effective applications of virtual reality (VR) in physical rehabilitation is training, where patients are trained for sequence decision-making in special situations presented in virtual environment. In this ...
  • An approach for measuring the human gesture learning ability in third-person view environment for motor rehabilitation 
    Communication avec acte
    NGUYEN, Van-Hanh; MARTINEZ, Jean-Luc; POZZO, Thierry; ccMERIENNE, Frédéric (ASME, 2010)
    In this paper, we describe a novel and quantitative approach to assess the capability of performing training task in the third-person view virtual environment for motor rehabilitation. Our proposed approach is based on ...
  • An efficient approach for human motion data mining based on curves matching 
    Communication avec acte
    NGUYEN, Van-Hanh; MARTINEZ, Jean-Luc; ccMERIENNE, Frédéric (Springer-Verlag, 2010)
    In this paper, we present a novel and efficient approach to retrieve human motion capture data as used in data-driven computer games, animated movies and special effects in the aim of finding a specific motion. From the ...
  • A predictive approach for a real-time remote visualization of large meshes 
    Communication avec acte
    NOUBISSI, Justin-Hervé; ccCHRISTOPHE, GUILLET; MARTINEZ, Jean-Luc; ccMERIENNE, Frédéric (IEEE, 2012)
    Remote access to large meshes is the subject of studies since several years. We propose in this paper a contribution to the problem of remote mesh viewing. We work on triangular meshes. After a study of existing methods ...
  • Software assembly and open standards for driving simulation 
    Communication avec acte
    FILLIARD, Nicolas; ICART, Emmanuel; MARTINEZ, Jean-Luc; GÉRIN, Sébastien; KEMENY, Andras; ccMERIENNE, Frédéric (INRETS, 2010)
    Driving simulation systems involve a combination of different computation codes. Although some of these modules are application-specific, their majority is reusable and state-of-the-art implementations are readily available ...

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