- Unité d'enseignement : Fundamentals of image processing and interpretation
Nombre de crédits de l'UE : 6
Code APOGEE : INF2495M
Type d'enseignement
Nb heures *
Cours Magistraux (CM)
36 h
Travaux Pratiques (TP)
15 h
* Ces horaires sont donnés à titre indicatif.
Pré-requis :
Basics of C++ programming, algorithms, optimization, statistic and signal processing.
Compétences attestées (transversales, spécifiques) :
Knowledge : Models and tools to understand and extract key information from images and video. Machine learning for image understanding.
Skills : computer vision
Programme de l'UE / Thématiques abordées :
This course introduces high-level problems that require image understanding and geometric feature extraction.
Students will learn about the problems of extracting depth information from a monocular or binocular system, image denoising and restoration techniques, inpainting and pattern recognition problems.
Different mathematical models will be useful for this task, based on the spatial or temporal domain as well as on the statistical analysis of data.
One part of the course will be devoted to the use of existing libraries and to reading of research papers.
Parcours / Spécialité / Filière / Option utilisant cette UE :
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