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CODE 90528
ACADEMIC YEAR 2021/2022
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE English
TEACHING LOCATION
  • GENOVA
SEMESTER 2° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

This course bridges the fundamentals of Computer Graphics and basic notions of Computer Vision, combining them to develop applications in the realm of Virtual and Augmented Reality.

AIMS AND CONTENT

LEARNING OUTCOMES

Learning the theoretical and methodological fundamentals of Computer Graphics as well as Virtual and Augmented reality and 3D Computer Vision.

PREREQUISITES

Linear algebra: vectors, matrices, linear transformations. 

Imperative programming

TEACHING METHODS

Class, lab, project and autonomous preparation.

Class attendance is registered and may affect the final assessment.

SYLLABUS/CONTENT

Introductory concepts:
•    Biological vision systems
•    Artificial vision systems: camera models

Computer Graphics elements:
•    rendering paradigms, graphics primitives, pipeline architecture.
•    GPU architecture.
•    Geometric meshes .
•    Affine and projective   geometry
•    Pipeline of geometric transformations
•    Data-driven programming.
•    WebGL .

3D computer vision  elements:

  • Image processing and features detection 
  • Disparity and optic flow computation
  • Camera calibration and geometry of two views (epipolar geometry).
  • Homography and camera pose.
  • Simultaneous Localization and Mapping (SLAM).

Augmented reality elements:

  • VR and AR principles
  • Visual perception and AR devices
  • Augmented reality tasks: pose estimation, user tracking, interaction with virtual objects.
  • Visual Coherence, Occlusion handling, Phantoms.
  • Examples and Case Studies

RECOMMENDED READING/BIBLIOGRAPHY

Material and references provided by the instructors

TEACHERS AND EXAM BOARD

Exam Board

ENRICO PUPPO (President)

MANUELA CHESSA

FABIO SOLARI (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 (single or teamwork).

Oral exam.

ASSESSMENT METHODS

The project will be evaluated for the correctness and efficiency of the solution.

The oral exam will usually concern the part of the syllabus not related to the specific topic covered with the project. 

Exam schedule

Data Ora Luogo Degree type Note
17/02/2022 09:00 GENOVA Esame su appuntamento
15/09/2022 09:00 GENOVA Esame su appuntamento