| Code |
Course Name |
Language |
Type |
| YZV 416E |
Computer Vision |
English |
Compulsory |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 3 |
7 |
3 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
(MAT 281 MIN DD
or MAT 281E MIN DD
or YZV 231E 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,
Circles, Ellipses, Templates); Basic Segmentation; Dimensionality Reduction; Motion
Estimation in 3D /Dynamic Scenes; Basic Geometric 2D Shape Analysis; Programming
Exercises (e.g. Python) to implement the computer vision algorithms covered in the
course. |
|
