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