Artificial Vision

A.Y. 2025/2026
6
Max ECTS
48
Overall hours
SSD
INF/01
Language
Italian
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
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
Shifts:
Turno
Professor: Lanzarotti Raffaella