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CODE 108871
ACADEMIC YEAR 2022/2023
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE English
TEACHING LOCATION
  • GENOVA
SEMESTER 2° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

This course presents the basics concepts of Augmented Reality, considering both the Computer Vision aspects necessary to build the knowledge of the real environments and the technical aspects necessary to develop AR applications.

AIMS AND CONTENT

LEARNING OUTCOMES

Learning the theoretical and methodological fundamentals of Augmented Reality, from the concepts of 3D Computational Vision to model the real-world world, to the synthesis of the virtual environments, and their fusion.

AIMS AND LEARNING OUTCOMES

The main aims of the course are:

-to learn the theoretical and methodological fundamentals of Augmented Reality,

- to learn the basics concepts of Computer Vision necessary to build a model of the real environment

- to learn the basics concepts of Virtual Reality to synthesize virtual envirioemnts

- to learn the techniques to align real and virtual in a coherent way

- to learn how to build AR application using the main state of the art tools and softwares

PREREQUISITES

Linear algebra: vectors, matrices, linear transformations. 

Imperative programming

TEACHING METHODS

Class and practical lessons

SYLLABUS/CONTENT

Intro to AR and the Milgram Continuum

Technologies (VST, OST, handled, spatial AR)

Basics of the Human visual systems 

Alignment real - virtual: tracking and calibration. Geometric transformations basics, graphics pipeline   

Display models 

Tracking of the external world: non-vision-based techniques 

Computer vision: feature detection, image-based tracking, slam,  homography and epipolar geometry

Camera Calibration, SPAAM 

Visual coherence, ghost technique

Interaction (hand tracking, virtual buttons, …)   

Practical: Unity, Vuforia, AR Core, Hololens

RECOMMENDED READING/BIBLIOGRAPHY

Material and references provided by the instructors

TEACHERS AND EXAM BOARD

Exam Board

FABIO SOLARI (President)

MANUELA CHESSA (President Substitute)

LESSONS

LESSONS START

Second semester, according to the official calendar of the Master course.

Class schedule

L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy.

EXAMS

EXAM DESCRIPTION

Project (teamwork).

Oral exam.

ASSESSMENT METHODS

The project will be evaluated for the correctness and efficiency of the solution, also considering the perceptual aspects and the 3d/visual coherence.

The oral exam will concern the theoretical/algorithmic aspects covered in the course.

Exam schedule

Data Ora Luogo Degree type Note
19/06/2023 09:00 GENOVA Esame su appuntamento
18/09/2023 09:00 GENOVA Esame su appuntamento
16/02/2024 09:00 GENOVA Esame su appuntamento