|Title: ||Computer Vision|
|Lesson Code: ||321-6606|
|Theory Hours: ||3|
|Lab Hours: ||2|
|Faculty: ||Vasilopoulos Nikolaos|
Image Formation, Feature-based Image Alignment, Motion Detection, Computational Photography, Feature Detection and Matching, Motion Estimation, Image Collation, Stereo Correspondance, Recognition.
The course provides basic knowledge about the comprehension and use of artificial vision systems. The student is aware of the principles of operating optical systems. For a given application, he/she is able to diagnose the possible parts of a system.
1. Computer Vision: Algorithms and Applications, © 2010 Richard Szeliski, Microsoft Research.
|Learning Activities and Teaching Methods |
Personal project, final oral exam.
|Assessment/Grading Methods |
||125 hours (5 ECTS)
|Language of Instruction|
|Greek, English (for Erasmus students)|
|Μode of delivery |