Project Coordinators: Pr. Rochdi Messoussi / Pr. Anass Nouri (Ibn Tofail University)
Description: The aim of the project is to analyze surface-based 3D meshes using deep learning.
The project objectives are:
- Proposing evaluation metrics for the quality of colored and uncolored 3D meshes.
- Proposing an approach for detecting visual saliency in both colored and uncolored meshes.
- Proposing approaches based on geometric deep learning.
Visuals:
Funding Partners: University of Caen Normandy
Expected Outcomes:
- A method for evaluating the quality of both colored and uncolored 3D meshes.
- A method for estimating the visual saliency of colored and uncolored meshes.
- Approaches based on geometric deep learning.
Activities Conducted as Part of the Project:
- Publication of several scientific articles related to the project (https://anassnouri.github.io/publications.html).
- Scientific meetings.
Scientific, Environmental, and Economic Impact:
- Optimization of algorithms for processing 3D meshes.
- Application of the proposed algorithms across multiple socio-economic sectors, including:
- Medical
- Marketing
- Media
- Photography
- Cultural Heritage Preservation
- Leveraging artificial intelligence to solve problems related to 3D technology.