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