Current computer graphic tools allow design and visualization of more and more realistic and precise 3D models. These models are numerical representations of both the real and imaginary worlds. Acquisition and design techniques of 3D models (modeler, scanner, sensor, etc.) usually produce huge data sets containing geometrical and appearance attributes. Usually this kind of meshes have to be simplified in order to be visualized. Moreover, meshes coming from 3D scanner contain some acquisistion noise.

The goal of this project is to develop a method to efficiently represent meshes containing appearance attributes with different resolution level. This level-of-detail representation allow one to visualize a huge mesh at a lower resolution to maintain interactive framerate. Also multiresolution analysis permits to filter/denoise a mesh or enhance a part this one.

• Geometric analysis has been developed and tested.
• Attribute analysis theory has been written.

Ongoing work is being done to developed the attribute multiresolution analysis in order to validate it. Also methods are being pursed to denoise meshes according to the attribute detail coefficients. This will possibly enhance the denoising result. THis work will also be applied in immersive environment to insure interactive high quality visualization.

No publication currently available for this project.

This research is being conducted at the IRIS Lab and Le2i by Michaël ROY under the supervision of Dr. Mongi A. ABIDI., Pr. Frédéric TRUCHETET, and Dr. Sebti FOUFOU.