Studying at the University of Verona

Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Ingegneria e scienze informatiche - Enrollment from 2025/2026

The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05

2° Year   activated in the A.Y. 2016/2017

ModulesCreditsTAFSSD
6
B
INF/01
6
B
ING-INF/05
Altre attivita' formative (taf f)
4
F
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
12
B
ING-INF/05
6
B
ING-INF/05
activated in the A.Y. 2016/2017
ModulesCreditsTAFSSD
6
B
INF/01
6
B
ING-INF/05
Altre attivita' formative (taf f)
4
F
-
Modules Credits TAF SSD
Between the years: 1°- 2°

Legend | Type of training activity (TTA)

TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S001409

Credits

6

Also offered in courses:

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

I semestre dal Oct 1, 2015 al Jan 29, 2016.

Learning outcomes

The goal of the course is to show different tools that can be used to process different kinds of spatially referenced 2D and 3D data, like digital images and volumes and surface meshes.
Several basics Computational Geometry and graph theory tools will be applied to practical problems and tested in lab activities, in order to efficiently encode data, detect and segment structures of interest, characterize objects, align different acquisitions.

Program

Capturing the 3D (2D) world
-Digital images and volumes, point clouds and surfaces
-Data acquisition, encoding and visualization
Segmentation of 2D and 3D data
-classification-based, graph based, contour based, model based.
Shape analysis:
-Descriptors applied to binary regions, curves and surfaces.
-Curvatures and curvature based characterization, spectral analysis
-Local and global descriptors
3D registration:
-methods based on point correspondences
-methods based on intensity matching

Examination Methods

Written test (20/30) and lab activity (10/30)

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE