| Riadok 35: | Riadok 35: | ||
*24.11. Segmentacia [https://docs.google.com/presentation/d/1Rgos4gePcXCjhmhwu-DUto18yKvQrUifJZnnr8k2-ms/edit?usp=sharing slides] | *24.11. Segmentacia [https://docs.google.com/presentation/d/1Rgos4gePcXCjhmhwu-DUto18yKvQrUifJZnnr8k2-ms/edit?usp=sharing slides] | ||
*1.12. Image classification and Pattern recognition [https://docs.google.com/presentation/d/1uXw1ATBRvj6P2426PE0Mejpb2TksVrsu-xOiJkWTIL0/edit?usp=sharing slides] | *1.12. Image classification and Pattern recognition [https://docs.google.com/presentation/d/1uXw1ATBRvj6P2426PE0Mejpb2TksVrsu-xOiJkWTIL0/edit?usp=sharing slides] | ||
| − | *8.12. Deep learning for computer vision, online cez Teams | + | *8.12. Deep learning for computer vision, online cez Teams [https://docs.google.com/presentation/d/1aZ0iLF1DM8TtB_J6rGyWVRGHP7EhJiTeQeWlV3z7pVE/edit?usp=sharing slides] |
*15.12. Exam, online cez Teams | *15.12. Exam, online cez Teams | ||
Verzia zo dňa a času 12:23, 8. december 2021
Fundamentals of Computer Graphics and Image Processing 1-AIN-301
Obsah
- Lecture
- Wednesday 9:50, M-IX
- Excercises
- Monday 17:20, I-H3
Grading
You can get 100 points (p) during semester, where 1pt = 1% of final grade
- Final writen exam: 50p
- Excercises: 50p (with minimum of 30p)
- 2 home assignments (projects): 2x20p (1 from CG part and 1 from IP part)
- Attendance: 10x1p
Materials
- Žára a kol. Moderní počítačová grafika
- Ružický, Ferko: Počítačová grafika a spracovanie obrazu
- Šikudová a kol. Počítačové videnie: Detekcia a rozpoznávanie objektov
Lectures
- 3.11. Snimanie slides
- 10.11. Predspracovanie slides
- 24.11. Segmentacia slides
- 1.12. Image classification and Pattern recognition slides
- 8.12. Deep learning for computer vision, online cez Teams slides
- 15.12. Exam, online cez Teams
Labs
- Slides & project assignment: GitHub