| Code |
Course Name |
Language |
Type |
| BLG 453E |
Computer Vision |
English |
Elective |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 2 |
5 |
2 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
(MAT 281 MIN DD
or MAT 281E MIN DD)
and BLG 202E MIN DD
|
| Class Restriction |
None |
| Course Description |
| Introduction
to
Computer
Vision.
Visual
and
Image
Data;
Pointwise
Image
Processing;
Geometric
Transforms;
Image
Neighborhood
Operations,
(Spatial
Filtering,
Edge
Detection
Operators);
Feature
Extraction
(Corners,
Parametric
Techniques:
Lines,
Circle
s,
Ellipses,
Templates);
Basic
Segmentation;
Dimensionality
Reduction;
Motion
Estimation
in
3D
/Dynamic
Scenes;
Basic
Geometric
2D
Shape
Analysis;
Programming
Exercises
(e.g.
Matlab)
to
implement
the
computer
vision
algorithms
covered
in
the
course. |
|
