L'axe Modélisation 3D & Visualisation développe des méthodes de modélisation permettant d'extraire des informations pertinentes, de représenter les données avec des formulations synthétiques génériques. Il devient alors possible de simuler et de visulaiser des objets ou des phénomènes et de corréler les résultats à la réalité.
The aim of this project is to build a 3D geometric and mechanical model of the skin/subcutaneous complex (SSC) which could be adapted to the different parts of the body and to the morphological parameters of the patient.
A recent pioneering applied work, in collaboration between the ICAR team and the ALGCO team, has shown that oriented matroids can be used efficiently to encode, analyze, characterize and classify shapes of 3D models given by point configurations.
The analysis of anatomical sections of wood provides important information for understanding the secondary growth and development of plants. This study reports on a new method for the automatic detection and characterization of cell les in wood images obtained by light microscopy.
We developed a novel approach for simulating 3D muscle deformations with complex architectures. The approach consists in choosing the best model formulation in terms of computation cost and accuracy, that mixes a volumetric tissue model based on finite element method (3D FEM), a muscle fiber model (Hill contractile 1D element) and a membrane model accounting for aponeurosis tissue (2D FEM).