COMPUTER VISION
Stampa
Enrollment year
2020/2021
Academic year
2021/2022
Regulations
DM270
Academic discipline
ING-INF/05 (DATA PROCESSING SYSTEMS)
Department
DEPARTMENT OF ELECTRICAL,COMPUTER AND BIOMEDICAL ENGINEERING
Course
COMPUTER ENGINEERING
Curriculum
Embedded and Control Systems
Year of study
Period
1st semester (27/09/2021 - 21/01/2022)
ECTS
6
Lesson hours
60 lesson hours
Language
English
Activity type
WRITTEN AND ORAL TEST
Teacher
LOMBARDI LUCA (titolare) - 5 ECTS
ALDEA EMANUEL - 1 ECTS
Prerequisites
Basic knowledfe of computer science
Learning outcomes
The student will be able to consider broblems related to artificial vision. In particula probles related feature analisys and pattern recognition.
Course contents
Basic definitions. Low-level image analysis methods, including image formation, edge detection, feature detection, and image segmentation.
3D Vision and motion analysis
Object recognition
Recognition Processes. Direct Comparison. Alignment methods. Invariant properties methods. Parts decompositions method. Hough transform.
Mathematical morphology
Teaching methods
Lectures conducted using presentations projected on screen (available to students) and insights using the chalkboard.
Reccomended or required readings
Slides of the lessons.

3C Vision: Cues, Context and Channels,Virginio Cantoni, Stefano Levialdi, Bertrand Zavidovique, Elsevier2011
Assessment methods
An oralexamination and the discussionof a projectrelatedto a topicof the course
Further information
Sustainable development goals - Agenda 2030