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
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.
1° Year
Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Smart Systems & Data Analytics
2° Year activated in the A.Y. 2023/2024
Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
---|
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
---|
3 modules among the following
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.
Digital design (2023/2024)
Teaching code
4S009010
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Period
Semester 2 dal Mar 4, 2024 al Jun 14, 2024.
Courses Single
Authorized
Learning objectives
This course is aimed at providing the student with the practical and theoretical tools for virtual representation of objects and complex scene, and the analysis and modelling of three-dimensional data. Formal methods are provided for the digital processing of geometric structures, the 3D acquisition pipeline, and the analysis of rigid and non-rigid shapes. Particular emphasis will be devoted for 3D digital content creation from the observation of real scenes. At the end of the course, this knowledge will allow the student to: implement a new system for the generation of virtual environments from the observation of real scenes, in a research context, combining formal methods for the analysis of rigid and non-rigid 3D shapes; implement different versions of 3D acquisition pipeline and analyse geometric properties of acquired shapes; deal with object deformation of non-rigid shapes. In addition, the student must be able to identify the most appropriate 3D modelling method for a given applicative context, including the capability of extending the digital content design system to other disciplines like machine learning and robotics; the student will be independent in continuing the studies in 3D digital design from the observation of the real scenes. The student will then be able to present the results of a digital design project, discuss with professional experts in the field, and provide the capability of adapting to the technical evolution and state of the art in the 3D digital content design.
Prerequisites and basic notions
Fundamentals of geometry, scripting
Program
3D shape representation: point clouds, meshes, parametric models (splines, nurbs), subdivision surfaces, solid constructive geometry. design methods. Practical examples.
3D acquisition from life: scanner and photogrammetry, geometry and lighting, image based representations.
Processing of geometric shapes
-Meshing
-Registration: Iterative Closest Point and its variants,
-Elements of differential geometry,
3D printing: technologies, problems, software optimization algorithms for printing
Bibliography
Didactic methods
Lectures, laboratory with practical demonstrations of technologies and programming
Learning assessment procedures
Oral exam and evaluation of practical activities
Evaluation criteria
The student will have to show that he has learned the techniques of modeling and processing of models and of scanning and reproduction and to be able to develop an application project in the field.
Criteria for the composition of the final grade
final project (50%) + oral exam (50%)
Exam language
Inglese