Department of Information & Communication Systems Engineering
University of the Aegean
SCHOOL OF ENGINEERING

Department of Information
& Communication Systems Engineering

Information & Communication Systems Security
Information Systems
Artificial Intelligence
Computer & Communication Systems
Geometry, Dynamical Systems & Cosmology
 
Computer Vision

Title: Computer Vision
Lesson Code: 321-6606
Semester: 9
ECTS: 5
Theory Hours: 3
Lab Hours: 2
Faculty: Vasilopoulos Nikolaos
 
Content outline

Image Formation, Feature-based Image Alignment, Motion Detection, Computational Photography, Feature Detection and Matching, Motion Estimation, Image Collation, Stereo Correspondance, Recognition.

 
Learning outcomes

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.

 
Prerequisites
Not required.
 
Basic Textbooks

1. Computer Vision: Algorithms and Applications, © 2010 Richard Szeliski, Microsoft Research.

 
Learning Activities and Teaching Methods

Personal project, final oral exam.

 
Assessment/Grading Methods

 

Activity Semester workload
Lectures 39 hours
Laboratory hours 26 hours
Personal study 57 hours
 
Final exams 3 hours
Course total 125 hours (5 ECTS)
 
Language of Instruction
Greek, English (for Erasmus students)
 
Μode of delivery

Face-to-face.



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Department of Information & & Communications Systems Engineering

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