Studying at the University of Verona
Academic calendar
Il calendario accademico riporta le scadenze, gli adempimenti e i periodi rilevanti per la componente studentesca, personale docente e personale dell'Università. Sono inoltre indicate le festività e le chiusure ufficiali dell'Ateneo.
L’anno accademico inizia il 1° ottobre e termina il 30 settembre dell'anno successivo.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates. .
| Period | From | To |
|---|---|---|
| I sem. | Oct 1, 2014 | Jan 30, 2015 |
| II sem. | Mar 2, 2015 | Jun 12, 2015 |
| Session | From | To |
|---|---|---|
| Sessione straordinaria appelli d'esame | Feb 2, 2015 | Feb 27, 2015 |
| Sessione estiva appelli d'esame | Jun 15, 2015 | Jul 31, 2015 |
| Sessione autunnale appelli d'esame | Sep 1, 2015 | Sep 30, 2015 |
| Session | From | To |
|---|---|---|
| Sessione autunnale appello di laurea 2014 | Nov 26, 2014 | Nov 26, 2014 |
| Sessione invernale appello di laurea 2015 | Mar 18, 2015 | Mar 18, 2015 |
| Sessione estiva appello di laurea 2015 | Jul 14, 2015 | Jul 14, 2015 |
| Sessione autunnale appello di laurea 2015 | Nov 25, 2015 | Nov 25, 2015 |
| Sessione invernale appello di laurea 2016 | Mar 16, 2016 | Mar 16, 2016 |
| Period | From | To |
|---|---|---|
| Vacanze di Natale | Dec 22, 2014 | Jan 6, 2015 |
| Vacanze di Pasqua | Apr 2, 2015 | Apr 7, 2015 |
| Ricorrenza del Santo Patrono | May 21, 2015 | May 21, 2015 |
| Vacanze estive | Aug 10, 2015 | Aug 16, 2015 |
Exam calendar
The exam roll calls are centrally administered by the operational unit
Science and Engineering Teaching and Student Services Unit
Exam Session Calendar and Roll call enrolment
sistema ESSE3
.
If you forget your password to the online services, please contact the technical office in your Faculty or to the service credential recovery
.
Per dubbi o domande Read the answers to the more serious and frequent questions - F.A.Q. Examination enrolment
Academic staff
Guarnieri Valerio
valerio.guarnieri@univr.it +39 045 802 7085
Study Plan
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 enrolment year.
| Teachings | Credits | TAF | SSD |
|---|
| Teachings | Credits | TAF | SSD |
|---|
| Teachings | Credits | TAF | SSD |
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1° Anno
| Teachings | Credits | TAF | SSD |
|---|
2° Anno
| Teachings | Credits | TAF | SSD |
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3° Anno
| Teachings | Credits | TAF | SSD |
|---|
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.
Signal and image processing - IMMAGINI (2014/2015)
Teaching code
4S000019
Teacher
Credits
6
Also offered in courses
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language of instruction
Italian
Period
II sem. dal Mar 2, 2015 al Jun 12, 2015.
To show the organization of the course that includes this module, follow this link: Course organization
Learning outcomes
The course is meant to the acquisition of the main theoretical and practical tools that are necessary for image processing, including both natural and medical images.
It is recommended to be familiar with the main concepts that are introduced in the Signal part, in particular Fourier (time/frequency) analysis, linear time-invariant systems and digital filtering.
The whole pipeline from image acquisition to image rendering will be considered, and the main theorical and practical aspects will be treated.
Laboratory sessions will be organized in order to "put in practice" what is treated in the course covering the entire pipeline in order to provide the student a complete view on the pipeline as well as good desing and implementation capabilities.
Program
- Introduction to image processing
- The acquisition pipeline (sampling, quantization)
- Image enhancement (in both spatial and frequency domain)
- Morphological image processing
- Color imaging
- Image segmentation (edge-based, region-based)
- Elements of pattern recognition
Examination Methods
Theory: written or oral exam (depending on the number of students)
Lab.:
- evaluation of the lab. sessions during the course
- Lab. specific questions during the exam
- Project only in case of diploma project as an alternative to questions
Teaching materials
-
IP - 2D - DFT
(pdf, it, 3119 KB, 15/03/15)
-
IP - Fourier-Transform
(pdf, it, 5861 KB, 15/03/15)
-
IP - L10
(pdf, it, 5627 KB, 25/04/15)
-
IP-L12b-Complements-ColorVision
(pdf, it, 8683 KB, 13/05/15)
-
IP - L12 - Color imaging
(pdf, it, 7723 KB, 13/05/15)
-
IP - L13 - Pattern recognition
(pdf, it, 9747 KB, 13/05/15)
-
IP - L14 - Image formats
(pdf, it, 4064 KB, 13/05/15)
-
IP-L4
(pdf, it, 5167 KB, 25/03/15)
-
IP-L5
(pdf, it, 4011 KB, 25/03/15)
-
IP-L7
(pdf, it, 6064 KB, 05/04/15)
-
IP-L8
(pdf, it, 5294 KB, 20/04/15)
-
IP-L9
(pdf, it, 28942 KB, 21/04/15)
-
IP Lab. 1
(pdf, it, 3155 KB, 07/04/15)
-
IP Lab. 2
(pdf, it, 1349 KB, 07/04/15)
-
IP-Lesson 1
(pdf, it, 15937 KB, 09/03/15)
-
IP-Signals-and-Systems
(pdf, it, 2769 KB, 09/03/15)
Tipologia di Attività formativa D e F
Course not yet included
Career prospects
Avvisi degli insegnamenti e del corso di studio
Per la comunità studentesca
Se sei già iscritta/o a un corso di studio,
puoi consultare tutti gli avvisi relativi al tuo corso di studi nella tua area riservata MyUnivr.
In questo portale potrai visualizzare informazioni, risorse e servizi utili che riguardano la tua carriera universitaria (libretto online, gestione della carriera Esse3, corsi e-learning, email istituzionale, modulistica di segreteria, procedure amministrative, ecc.).
Entra in MyUnivr con le tue credenziali GIA.
Graduation
List of theses and work experience proposals
| theses proposals | Research area |
|---|---|
| Analisi e percezione dei segnali biometrici per l'interazione con robot | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |
| Integrazione del simulatore del robot Nao con Oculus Rift | AI, Robotics & Automatic Control - AI, Robotics & Automatic Control |
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Computer graphics, computer vision, multi media, computer games |
| Domain Adaptation | Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video) |
| BS or MS theses in automated reasoning | Computing Methodologies - ARTIFICIAL INTELLIGENCE |
| Domain Adaptation | Computing Methodologies - IMAGE PROCESSING AND COMPUTER VISION |
| Domain Adaptation | Computing methodologies - Machine learning |
| Dati geografici | Information Systems - INFORMATION SYSTEMS APPLICATIONS |
| Analisi e percezione dei segnali biometrici per l'interazione con robot | Robotics - Robotics |
| Integrazione del simulatore del robot Nao con Oculus Rift | Robotics - Robotics |
| BS or MS theses in automated reasoning | Theory of computation - Logic |
| BS or MS theses in automated reasoning | Theory of computation - Semantics and reasoning |
| Proposte di tesi/collaborazione/stage in Intelligenza Artificiale Applicata | Various topics |
| Proposte di Tesi/Stage/Progetto nell'ambito delle basi di dati/sistemi informativi | Various topics |
Gestione carriere
Area riservata studenti
Modalità di frequenza
Come riportato al punto 25 del Regolamento Didattico per l'A.A. 2021/2022, la frequenza al corso di studio non è obbligatoria.Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.