GMOD : Geometric Modeling

Keys Words

GParametric surfaces, 3D meshes, digital geometry and topology, shape analysis, constrained modeling





Permanent Members

BAC AlexandraMaitre de Conférences
Courriel :
Telephone : 0491828532
DANIEL MarcProfesseur des Universités
Courriel :
Telephone : 0491828525
DESBENOIT BrettMaitre de Conférences
Courriel :
Telephone : 0413552179
GONZALEZ-LORENZO AldoMaitre de Conférences
Courriel :
MARI Jean-LucProfesseur des Universités
Courriel :
Telephone : 0491828526
MAVROMATIS SébastienMaitre de Conférences
Courriel :
Telephone : 0491828553
RAFFIN RomainMaitre de Conférences
Courriel :
Telephone : 0490522412
REMY ÉricMaitre de Conférences
Courriel :
Telephone : 0490522413
SEQUEIRA JeanProfesseur des Universités
Courriel :
Telephone : 0491828521
THON SébastienMaitre de Conférences
Courriel :
Telephone : 0490525123
URIBE RicardoMaitre de Conférences
Courriel :
Telephone : 0413552189


Phd Studients

BEGUET FlorianDoctorant
Courriel :
GIRARD RémiDoctorant
Courriel :
HOARAU RomainDoctorant
Courriel :
JIN NanDoctorant
Courriel :
JUBERT ManonDoctorant
Courriel :
OLOFSSON NilsDoctorant
Courriel :
Courriel :
ZOPPITELLI PierreDoctorant
Courriel :


Other staff members

Scientific Goals

The G-Mod activities cover 3 topics that interact in projects:

Geometrical and topological analysis
The analysis of global or local characteristics derived from geometrical data is the shared foundation of modeling, pairing methods or multi-resolution representations. These works allow shape characterization, recognition of lines, homogeneous areas detection… on various objects (triangle mesh, points cloud, voxels set, topologically-defined abstract objects).

Modeling – reconstruction
This topic add semantic information to geometrical data. These properties are pre-given (declarative modeling) or extracted from the digitized object (characterization). It permits the completion of a multiple-levels constraint set (from data to experts), and requires adapted solving techniques.

Merging data and specific modeling for graphical simulation
In multiple representations model management, merging data and graphical simulation should be based on geometrical modeling. The merging of information enriches data but also introduces redundancy. Whatever the realism of the produced images, or the mean to achieve simulation, the complexity of such an environment is constrained by information transfers. Modeling is then a basis for knowledge representation (semantic data indexation, spacial or temporal tracking).


Web Site

For more detail :


Scientific publications