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Riadok 10: | Riadok 10: | ||
; Lecture | ; Lecture | ||
− | : Wednesday 9:50, M- | + | : Wednesday 9:50, M-IX |
; Excercises | ; Excercises | ||
− | : Monday | + | : Monday 17:20, I-H3 |
=== Grading === | === Grading === | ||
Riadok 18: | Riadok 18: | ||
* Final writen exam: 50p | * Final writen exam: 50p | ||
* Excercises: 50p ''(with minimum of 30p)'' | * Excercises: 50p ''(with minimum of 30p)'' | ||
− | ** | + | ** 2 home assignments (projects): 2x20p (1 from CG part and 1 from IP part) |
** Attendance: 10x1p | ** Attendance: 10x1p | ||
Riadok 28: | Riadok 28: | ||
---- | ---- | ||
+ | == Lectures == | ||
+ | [http://www.sccg.sk/~madaras/students.html CG slides ] | ||
+ | *3.11. Snimanie [https://docs.google.com/presentation/d/1mxQZt2V2fwaNZlZ2c4QVOXlJunyBBbGRfIv68yjBZXQ/edit?usp=sharing slides] | ||
+ | *10.11. Predspracovanie [https://docs.google.com/presentation/d/1JHeZS8IlN41tR_7KbLc_6KDX_qKnLIBN_I6mb82mlyw/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] | ||
+ | *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 | ||
− | = Labs | + | == Labs == |
+ | * Slides & project assignment: [https://github.com/danasko/zpgso GitHub] | ||
+ | <!--- | ||
Guide: Adam Riečický | Guide: Adam Riečický | ||
Riadok 117: | Riadok 127: | ||
; Light Types (3p) | ; Light Types (3p) | ||
: Add possibility to select the light type (point light, sun/directional light) - the GUI option should also change from "light direction" to "light position". | : Add possibility to select the light type (point light, sun/directional light) - the GUI option should also change from "light direction" to "light position". | ||
+ | ---> |
Verzia zo dňa a času 11:23, 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