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CODE 90528
ACADEMIC YEAR 2018/2019
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR INF/01
LANGUAGE English
TEACHING LOCATION
  • GENOVA
SEMESTER 2° Semester
TEACHING MATERIALS AULAWEB

AIMS AND CONTENT

LEARNING OUTCOMES

Students will be provided with a sound grounding on theoretical and methodological fundamentals of Computer Graphics as well as Virtual and Augmented reality, which will also include elements of 3D computer vision. In the first part of the course, students will learn the components and the architecture of a graphical system, the visualization pipeline, geometric transformations, projection, clipping, illumination, picking. In the second part, students will get acquainted with sensation and perception notions, in particular with: visual perception; artificial and biological optical systems; real and virtual images; visual coherence. 3D user interfaces. Various case studies will be included in the analysis, eg. conventional monitors, HMD, oculus, hololens, tablets or smartphones. Students will be involved in project activities.

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)

PATRIZIA BOCCACCI

MANUELA CHESSA

PAOLA MAGILLO

FRANCESCA ODONE

FABIO SOLARI

LESSONS

LESSONS START

Second semester

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Project (single or teamwork).

Oral exam.

Exam schedule

Data appello Orario Luogo Degree type Note
15/02/2019 09:00 GENOVA Esame su appuntamento
26/07/2019 09:00 GENOVA Esame su appuntamento
20/09/2019 09:00 GENOVA Esame su appuntamento