Enseignement scientifique & technique - CSC_53431_EP : Analysis and Deep Learning on Geometric Data
Descriptif
#### Objectives :
This course will introduce students to advanced topics in modern geometric 3D data analysis with focus on a) mathematical foundations (discrete differential geometry, mapping, optimization), and b) deep learning for best performing methods. We will give an overview of the foundations in 3D shape analysis and processing before moving to modern techniques based on deep learning for solving problems such as shape classification, correspondence, parametrization, etc.
Content :
####
The course is divided into four lectures and four lab sessions. The topics covered include:
- Intro to 3D Shape Representaiton and Discrete Differential Geometry,
- Optimization of geometric energies,
- Deep learning on curved surfaces,
- Analysis and machine learning on point clouds
#### Language :
The course will be taught in English by [Maks Ovsjanikov](http://www.lix.polytechnique.fr/~maks/) and [Etienne Corman](https://members.loria.fr/ECorman/).
#### Evaluation :
Oral paper presentation.
Format des notes
Numérique sur 20
Littérale/grade réduit
Pour les étudiants du diplôme M2 DATAAI - Data and Artificial Intelligence
Le rattrapage est autorisé (Note de rattrapage conservée)L'UE est acquise si Note finale >= 10- Crédits ECTS acquis : 2.5 ECTS
