Module Descriptor School of Computer Science and Statistics
|Module Name||Augmented Reality|
|Module Short Title|
2 lecture hours and 1 lab hour per week
|Module Personnel||Professor Aljosa Smolic|
On successful completion of this module, students will be able to:
This course will cover fundamentals and state-of-the-art in augmented reality, as well as related areas of 3D computer vision and graphics. Theoretical background as well as practical solutions and applications will be presented in the lectures. Students will get direct exposure to latest research results of Prof. Smolic’s research team V-SENSE. In their own work, students will be asked to design an own project (individual or groups) from idea, via implementation, testing, evaluation, demonstration, to documentation. In this way they will experience the full lifecycle of a practical project, as they will face it once they leave the university in either industry or research. A default project will be suggested as fallback, still covering the full lifecycle except the idea.
Specific topics addressed in this module will include:
|Recommended Reading List|
Fundamentals of computer vision in any form, e.g.
Computer Vision: Algorithms and Applications, Richard Szeliski, September 3, 2010 draft, 2010 Springer
Multiple View Geometry in Computer Vision
Richard Hartley and Andrew Zisserman,
Cambridge University Press, March 2004.
Some background in fundamentals of computer vision and graphics will be helpful but not necessarily required.
Annual Assessment=100% coursework (project):
Students will be asked to design an own project (individual or groups) from idea, via implementation, testing, evaluation, demonstration, to documentation. A default project will be suggested as fallback.
Supplemental Assessment=100% coursework
|Academic Year of Data||2017/18|