COMPUTER GRAPHICS & AUGMENTED REALITY

iten
Code
90528
ACADEMIC YEAR
2021/2022
CREDITS
9 credits during the 1st year of 10852 COMPUTER SCIENCE (LM-18) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR
INF/01
LANGUAGE
English
TEACHING LOCATION
GENOVA (COMPUTER SCIENCE )
semester
2° Semester
Teaching materials

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

Office hours: Appointment by email: enrico.puppo@unige.it During class period appointments for groups can be set by posting on the course forum on AulaWeb.

Office hours: Appointment by email:  fabio.solari@unige.it (since the teacher teaches more than one course, please specify surname and course)

Office hours: Appointment by email: manuela.chessa@unige.it During class period appointments for groups can be set by posting on the course forum on AulaWeb.

Exam Board

ENRICO PUPPO (President)

MANUELA CHESSA

FABIO SOLARI (President Substitute)

LESSONS

TEACHING METHODS

Class, lab, project and autonomous preparation.

Class attendance is registered and may affect the final assessment.

LESSONS START

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

Class schedule

All class schedules are posted on the EasyAcademy portal.

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

Date Time Location Type Notes
17/02/2022 09:00 GENOVA Esame su appuntamento
15/09/2022 09:00 GENOVA Esame su appuntamento