Lecture: Computer Vision15th September 2017
Lecturer: Prof. Aljosa Smolic. This course is an advanced master class in computer vision.
|Module Name||Computer Vision|
|Module Short Title|
|Contact Hours||2 lecture hours per week|
|Module Personnel||Professor Aljosa Smolic|
|Learning Outcomes||On successful completion of this module, students will be able to:
|Learning Aims||This course is an advanced master class in computer vision. It does not intend to teach fundamentals, but focuses on latest research. Guest lecturers will present leading edge research from various hot areas of computer vision. Students will get direct exposure to high class scientists and their research. In their own work, students will select each a recent paper and present it to the class. Further, they will be asked to execute small projects to explore selected state-of-the-art computer vison technology.|
|Module Content||Specific topics addressed in this module may 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.
|Assessment Details||100% coursework:
50% Seminar presentation
Assessment in the Supplemental session will be based on 100% coursework.
|Academic Year of Data: 2017/18|