Team ALCOVE

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Section: Scientific Foundations

Keywords : Physically-based simulation, 3D virtual environment, multi-resolution, adaptive models, multi-models, dynamic control, computer vision, computer graphics, inverse rendering, inverse modeling, physical parameter identification, hysteresis, mechanical simulation, rendering.

Physical models for real-time simulation

Participants : Fabrice Aubert, Samuel Boivin, Laurent Grisoni, Cédric Syllebranque, Adrien Theetten.

The global activity of the project in real-time simulation is mostly targeted toward surgical simulators. The key activity of the team is to provide complex, integrated surgical protocols, involving several models and surgical aspects. This activity seems complementary, in our opinion, to most of classical simulation research, where results mostly deal with very specific aspects, i.e. collision detection, haptic, or mechanical models. In particular, our activity relates to that of EVASION project (on general-purpose simulation) and ASCLEPIOS project (research on organ mechanical models). We consider to be at the state-of-the-art level for mechanical modeling of deformable 1D models.

About cloth simulation, we have created a new nonlinear model of fabrics. This model is able to automatically integrate the measurements coming from the Kawabata machine, which defines the mechanical behavior of a real garment. Although many research teams work on cloth simulation, we consider our model to be unique because it no longer requires the tuning of physical parameters to create synthetic animations of garments. Two years ago, we have also started a new activity about the mechanical identification of volumetric models from videos. To our knowledge, this research area is poorly studied in the world and no other team has really started to work on similar problems under the same assumptions and physical constraints as ours.


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