This course will present an overview of trends, modern methods and applications of computer vision technologies in various problems of visual computing, namely visual analytics, object recognition, 3D scene modeling from multiple-views, cross training of multimodal data, etc. Also, this course will present an overview of trends, relevant to the automatic interpretation of medical imaging from computer aided solutions. The course will discuss the entire chain of problems in mid and high-level interpretation addressing the pillar problems of the field (detection, segmentation, registration) and the most AI-driven advanced technologies for computer aided diagnosis.

Temps présentiel : 35 heures

Charge de travail étudiant : 65 heures

Méthode(s) d'évaluation : Examen final, Projets