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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 | ||
− | Mondays at 16:30 on [https://teams.microsoft.com/l/channel/19% | + | Mondays at 16:30 on [https://teams.microsoft.com/l/channel/19%3ac7d4a4b8193e42a7ba7bd4c9fbb24599%40thread.tacv2/General?groupId=06d7acf3-8480-4c8f-aa56-6e71fd0ebbb1&tenantId=ce31478d-6e7a-4ce7-8670-a5b9d51884f9 Teams] |
− | + | ||
== Slides == | == Slides == | ||
Riadok 46: | Riadok 56: | ||
[https://docs.google.com/presentation/d/1IXT5HbH1q7LhgGfYJkI5khzezfBqzTT1jnp3d15VWGY/edit#slide=id.p Slides #04] | [https://docs.google.com/presentation/d/1IXT5HbH1q7LhgGfYJkI5khzezfBqzTT1jnp3d15VWGY/edit#slide=id.p Slides #04] | ||
− | [https://docs.google.com/presentation/d/1y2rWsXCrkgj68UuLU-ELztN57ofnoie7oG5DmgUJXKI/edit#slide=id.g29c1b949f2_0_0 Slides #05] | + | [https://docs.google.com/presentation/d/1y2rWsXCrkgj68UuLU-ELztN57ofnoie7oG5DmgUJXKI/edit#slide=id.g29c1b949f2_0_0 Slides #05] |
+ | |||
== Project == | == Project == | ||
Riadok 69: | Riadok 80: | ||
=== Stage 2 (10p) === | === Stage 2 (10p) === | ||
− | ''Deadline | + | ''Deadline 22.12.2020 23:59'' |
Add transformation controls to your tool. | Add transformation controls to your tool. | ||
Riadok 88: | Riadok 99: | ||
=== Stage 3 (7p) === | === Stage 3 (7p) === | ||
− | ''Deadline | + | ''Deadline 27.1.2021 23:59'' |
Enhance existing visualization tool by implementing Blinn-Phong Lightning Model | Enhance existing visualization tool by implementing Blinn-Phong Lightning Model | ||
Riadok 102: | Riadok 113: | ||
: [https://dai.fmph.uniba.sk/upload/b/bd/Zpgso_pr2_scr1.png screen 1] | : [https://dai.fmph.uniba.sk/upload/b/bd/Zpgso_pr2_scr1.png screen 1] | ||
: [https://dai.fmph.uniba.sk/upload/7/71/Zpgso_pr2_scr2.png screen 2] | : [https://dai.fmph.uniba.sk/upload/7/71/Zpgso_pr2_scr2.png screen 2] | ||
+ | |||
+ | === Bonus Points === | ||
+ | ''Submit with Stage 3'' | ||
+ | |||
+ | Extend your visualization options by the following features to earn bonus points. Attention: Your point total (including bonus points) will not exceed 25 points for exercises from computer graphics part. | ||
+ | |||
+ | ; Material Properties (1p) | ||
+ | : Expose material properties ka, kd, ks, shininess, and color to GUI. Re-render image when the user changes these properties. | ||
+ | |||
+ | ; Lighting Model Selection (2p) | ||
+ | : Implement a switch that allows the selection between two lighting models (Phong vs Blin-Phong). The difference should be minimal but it is a proof of concept. | ||
+ | |||
+ | ; 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". | ||
+ | ---> |
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