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
 
Υπολογιστική Όραση

Title: Υπολογιστική Όραση
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 Workload
Lectures 39 hours
Laboratory exercises 20 hours
Personal study 62 hours
Progress 1 hour
Final examination 3 hours
Total 125 hours (5 ECTS)

 

 

 
Language of Instruction
Greek, English (for Erasmus students)
 
Μode of delivery

Face-to-face.



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