Information Package / Course Catalogue
| Course Code | : EEE573 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 2 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 6 |
Teaching computer vision techniques and their application fields. Teaching classification basics.
Geometric modelling of the image Image movement and optical flow prediction Image merge and geometric transformation Morphological image processing Pattern classification and definition, Hough transformation
| 1. | To learn geometric modelling of the image |
| 2. | To be able to develop projects in real life such as Prediction, Classification and Recognition. |
| 3. | Gaining image fusion and geometric transformation. |
| 4. | Being able to follow the research topics developing in the field of Computer Vision; To be able to make presentations by preparing short seminars on this subject. |
| 5. | To gain experience in reading and writing articles. |
| 1. | Computer Vision, Dana H. Ballard, Christopher M. Brown |
| 2. | Computer Vision : Algorithm and Applications, Richard Szeliski |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 2 | %10 |
| Term Assignment | 1 | %5 |
| Project | 1 | %70 |
| Midterm Examination | 1 | %15 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 2 | 2 | 56 |
| Lecture - Practice | 14 | 2 | 2 | 56 |
| Assignment | 2 | 3 | 3 | 12 |
| Term Project | 1 | 5 | 2 | 7 |
| Project | 1 | 10 | 3 | 13 |
| Midterm Examination | 1 | 5 | 1 | 6 |
| TOTAL WORKLOAD (hours) | 150 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | |
OÇ-1 | 3 | 3 | 3 | 3 | 4 | 3 | 4 |
OÇ-2 | 4 | 4 | 4 | 3 | 5 | 4 | 3 |
OÇ-3 | 3 | 3 | 5 | 5 | 5 | 4 | 3 |
OÇ-4 | 3 | 3 | 3 | 3 | 4 | 3 | 4 |
OÇ-5 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |