Artificial Vision
A.Y. 2025/2026
Learning objectives
The aim of the course is to provide students with the skills to analyze images, videos, and three-dimensional reconstructions, in order to extract semantic meaning by interpreting the real world through the recognition of objects, subjects, actions, and situations depicted in the scene. The skills will focus on the fundamentals of vision and Deep Learning techniques.
Expected learning outcomes
- Understand the fundamental principles of image formation
- Learn techniques for reconstructing three-dimensional models of real-world objects
- Gain knowledge of learning methods—particularly Deep Learning techniques—used in computer vision to identify and recognize objects or actions from images and videos
- Learn techniques for reconstructing three-dimensional models of real-world objects
- Gain knowledge of learning methods—particularly Deep Learning techniques—used in computer vision to identify and recognize objects or actions from images and videos
Lesson period: Third four month period
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
Third four month period
INF/01 - INFORMATICS - University credits: 6
Lessons: 48 hours
Professor:
Lanzarotti Raffaella
Shifts:
Turno
Professor:
Lanzarotti RaffaellaProfessor(s)