Riadok 36: Riadok 36:
 
*16.11. Predspracovanie [https://docs.google.com/presentation/d/1JHeZS8IlN41tR_7KbLc_6KDX_qKnLIBN_I6mb82mlyw/edit?usp=sharing slides]
 
*16.11. Predspracovanie [https://docs.google.com/presentation/d/1JHeZS8IlN41tR_7KbLc_6KDX_qKnLIBN_I6mb82mlyw/edit?usp=sharing slides]
 
*23.11. Segmentacia [https://docs.google.com/presentation/d/1Rgos4gePcXCjhmhwu-DUto18yKvQrUifJZnnr8k2-ms/edit?usp=sharing slides]
 
*23.11. Segmentacia [https://docs.google.com/presentation/d/1Rgos4gePcXCjhmhwu-DUto18yKvQrUifJZnnr8k2-ms/edit?usp=sharing slides]
 +
*30.11. Image classification and Pattern recognition [https://docs.google.com/presentation/d/1uXw1ATBRvj6P2426PE0Mejpb2TksVrsu-xOiJkWTIL0/edit?usp=sharing slides]
 +
*7.12. Deep learning for computer vision, [https://docs.google.com/presentation/d/1aZ0iLF1DM8TtB_J6rGyWVRGHP7EhJiTeQeWlV3z7pVE/edit?usp=sharing slides]
 
*14.12. Exam
 
*14.12. Exam
 
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Verzia zo dňa a času 18:36, 7. január 2023

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

Course information sheet >

Lectures
Martin Madaras
Zuzana Berger Haladová
Excercises
Zuzana Berger Haladová

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

  • 21.9. Intro slides
  • 28.9. - 26.10. CG CG slides
  • 9.11. Snimanie obrazu slides
  • 16.11. Predspracovanie slides
  • 23.11. Segmentacia slides
  • 30.11. Image classification and Pattern recognition slides
  • 7.12. Deep learning for computer vision, slides
  • 14.12. Exam

Labs

Points table

CV [1] Assignment due to 6.12.2022 6:00