(Stage 3 (7p))
 
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; Lecture
 
; Lecture
: Wednesday 9:50, M-I
+
: Wednesday 9:50, M-IX
 
; Excercises
 
; Excercises
: Monday 18:10, F1-248
+
: Monday 17:20, I-H3
  
 
=== Grading ===
 
=== Grading ===
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* Final writen exam: 50p
 
* Final writen exam: 50p
 
* Excercises: 50p ''(with minimum of 30p)''
 
* Excercises: 50p ''(with minimum of 30p)''
** 4 home assignments: 4x10p (2 from CG part and 2 from IP)
+
** 2 home assignments (projects): 2x20p (1 from CG part and 1 from IP part)
 
** Attendance: 10x1p
 
** Attendance: 10x1p
 
                                        
 
                                        
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----
 
----
 +
== 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 - CG =
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== Labs ==
  
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* Slides & project assignment: [https://github.com/danasko/zpgso GitHub]
 +
<!---
 
Guide: Adam Riečický
 
Guide: Adam Riečický
  
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=== Stage 2 (10p) ===
 
=== Stage 2 (10p) ===
''Deadline 20.12.2020 23:59''
+
''Deadline 22.12.2020 23:59''
  
 
Add transformation controls to your tool.
 
Add transformation controls to your tool.
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=== Stage 3 (7p) ===
 
=== Stage 3 (7p) ===
''Deadline 24.1.2021 23:59''
+
''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
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''Submit with Stage 3''
 
''Submit with Stage 3''
  
Extend your visualization options by the following features to earn bonus points.
+
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)
 
; Material Properties (1p)
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; 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".
 +
--->

Latest revision as of 11:23, 8 December 2021

Fundamentals of Computer Graphics and Image Processing 1-AIN-301

Course information sheet >

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



Lectures

CG slides

  • 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