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.
Study Plan
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 2025/2026The 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.
1° Year
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2° Year activated in the A.Y. 2016/2017
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Due insegnamenti a scelta
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.
Image and volume data analysis (2015/2016)
Teaching code
4S001409
Teacher
Coordinator
Credits
6
Also offered in courses:
- Bioimaging and Biomedical data processing - ELABORAZIONE DATI BIOMEDICI of the course Master's degree in Bioinformatics and Medical Biotechnology
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)