Team EVASION

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Section: Other Grants and Activities

National projects

ANR Masse de données et simulation KAMELEON

Participants : Marie-Paule Cani, Franck Hetroy, Paul Kry, Lionel Reveret.

Current techniques for animating the skin surface of a virtual creature from the motion of its skeleton do not take into account complex phenomena such as the rolling of the internal tissue over the bones. In order to tackle this problem, a research project has been initiated between EVASION and the National Museum of Natural History in Paris. For the study of locomotion, the Museum has access to Xray video of live animals, making possible to visualize the motion of the internal skeleton during locomotion. Using standard stereovision techniques, the 3D surface of the animal will be extracted in order to be correlated into an innovative machine learning framework with the internal Xray data of the skeleton. As a result of this learning phase, more realistic 3D motion of the skin will be achieved, controlled by standard 3D skeleton motion. This project is sponsored by an ANR grant for the next three years. It gathers 4 participants: EVASION project, National Museum of Natural History, Université de Rennes and Université Paris 5. This is a 3 year project and it has started in 2006.

ANR Masse de données et simulation NatSim

Participants : Antoine Bouthors, Eric Bruneton, Marie-Paule Cani, Philippe Decaudin, Cédric Manzoni, Fabrice Neyret, Jamie Wither, Qizhi Yu.

This project aims at developing new techniques and hybrid representations to model, visualize, animate and transmit natural scenes. It involves EVASION, IRIT and LABRI. EVASION is involved in two workpackages: edition tools in order to "sketch" high level user specification concerning the landscape, and procedural modeling, simulation and real-time rendering of complex scenes (such as terrain, rivers, clouds, trees). The project has started on 22/12/2005 and ends on 21/12/2008.

ANR Chênes et roseaux

Participants : Julien Diener, Fabrice Neyret, Lionel Reveret.

The aim of the project CHENE-ROSEAU is to develop and test experimental and theoretical methodologies for the analysis and simulation of the motion of plants induced by wind. The knowledge of motion of plants under wind is important for several reasons. First, in terms of plant damage, excessive motion can lead to lodging in crops, where the deformation becomes permanent or to wind throw in isolated or grouped trees. Second, motion of lesser amplitude is known to influence plant growth (thigmomorphogenesis), particle spreading, liquid retention on leaves or light spreading inside a canopy. More recently applications in computer graphics for video games or movies have appeared, where the simulation of realistic plant motion is still a major difficulty. Partners for this project are the Laboratoire d'Hydrodynamique-LadHyX (Ecole polytechnique), UMR 547 PIAF (Physiologie Intégrée de l'Arbre Fruitier et Forestier) (INRA), UR Ephyse (Ecologie fonctionnelle et Physique de l'Environnement) (INRA) and Projet EVASION (INRIA Rhône-Alpes). This is a 3 year project and it has started in 2007.

ARC Fantastik

Participants : Lionel Reveret, Maxime Tournier, Xiaomao Wu.

The ARC Fantastik investigates the use of the particles filter formalism to allow solving the inverse dynamic problem while taking into account mechanical constraints. The participants are EVASION project (coordinator), PERCEPTION project, Centre de Mathématiques et de Leurs Applications (CNRS UMR 8536), ENS Cachan, SABRES and SAMSARA laboratories from Université de Bretagne Sud.

GdR ISIS Analyse Multirésolution d'objets 3D animés

Participant : Franck Hétroy.

Analyse Multirésolution d'objets 3D animés is a project funded by the GdR ISIS (Groupement de Recherche Information, Signal, Images et ViSion) from CNRS, in which we aim at developing multiresolution analysis techniques for animated 3D objects (e.g. for compression). We work on this project with Cédric Gérot from the GIPSA-Lab in Grenoble, Frédéric Payan from the I3S lab (University of Nice) and Basile Sauvage from the LSIIT lab (University of Strasbourg).


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