Artificial Vision
A.Y. 2024/2025
Learning objectives
Aim of the course is to give elements which allow to infer knowledge about the real world from digital images or videos. These skills mainly concern the 3D reconstruction of real objects, and the processing and recognition of elements and actions in a scene.
Expected learning outcomes
- Learn the image formation principles
- Learn the techniques to obtai 3D object reconstruction
- Learn machine learning techniques aimed at the identification and recognition of objects and actions in images or videos
- Learn the techniques to obtai 3D object reconstruction
- Learn machine learning techniques aimed at the identification and recognition of objects and actions in images or videos
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Lanzarotti Raffaella
Shifts:
Turno
Professor:
Lanzarotti RaffaellaProfessor(s)