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*21.9. Intro [https://docs.google.com/presentation/d/1zcsOFvFzUtIWBN_OnsM2GDpiO11TeOwg8bhsihzDnPI/edit?usp=sharing slides]
 
*21.9. Intro [https://docs.google.com/presentation/d/1zcsOFvFzUtIWBN_OnsM2GDpiO11TeOwg8bhsihzDnPI/edit?usp=sharing slides]
 
*28.9. - 26.10. CG [http://www.sccg.sk/~madaras/students.html CG slides ]
 
*28.9. - 26.10. CG [http://www.sccg.sk/~madaras/students.html CG slides ]
*9.11. - 14.12. CV
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*9.11. Snimanie obrazu [https://docs.google.com/presentation/d/1mxQZt2V2fwaNZlZ2c4QVOXlJunyBBbGRfIv68yjBZXQ/edit?usp=sharing slides]
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*16.11. Predspracovanie [https://docs.google.com/presentation/d/1JHeZS8IlN41tR_7KbLc_6KDX_qKnLIBN_I6mb82mlyw/edit?usp=sharing slides]
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*23.11. Segmentacia [https://docs.google.com/presentation/d/1Rgos4gePcXCjhmhwu-DUto18yKvQrUifJZnnr8k2-ms/edit?usp=sharing slides]
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*30.11. Image classification and Pattern recognition [https://docs.google.com/presentation/d/1uXw1ATBRvj6P2426PE0Mejpb2TksVrsu-xOiJkWTIL0/edit?usp=sharing slides]
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*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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== Labs ==
 
== Labs ==
CG  [https://docs.google.com/document/d/1sS7FiLGNx0MYBBUdWof_mh99P6F_X6Qtq4Ck3XTJk34/edit?usp=sharing Project asignment] First stage due to 11.10.2022 6:00  
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Points [https://docs.google.com/spreadsheets/d/12DMrmDswrCqdNMd-02RpbbzofmYk-PGfbWB-kJwHDBA/edit?usp=sharing table]
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CV [https://docs.google.com/document/d/1JLmTNcAQLi0XtcyTqTcvGExXptJaMH0rnbhYgAyROcU/edit?usp=sharing] Assignment due to 6.12.2022 6:00  
  
 
*22.9. Lab excursion
 
*22.9. Lab excursion
 
*29.9. Exercise 1 CG [https://docs.google.com/presentation/d/1v7SWRgfa1ihLjcLxeIUGDVAIWeBjlNwjrpkxrvv1q9Q/edit?usp=sharing slides]
 
*29.9. Exercise 1 CG [https://docs.google.com/presentation/d/1v7SWRgfa1ihLjcLxeIUGDVAIWeBjlNwjrpkxrvv1q9Q/edit?usp=sharing slides]
*6.10. Exercise 2 CG
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*6.10. Exercise 2 CG [https://docs.google.com/presentation/d/1DK8_GjOTbYONvwXiauMT6ABQHNY5o69ZtnxmTRfyCnA/edit?usp=sharing slides]
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*13.10. Exercise 3 CG [https://docs.google.com/presentation/d/1BmfyQmPth4GvzD1eiWJUQSnnixTFWO4dph61pYDa-74/edit?usp=sharing slides] [https://docs.google.com/document/d/1ZSI6C04qPN8x4UOT_FjYGv4djwlp46LPBz7-Q4JsG3Q/edit?usp=sharing priklad na DDA]
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*20.10. Exercise 4 CG [https://docs.google.com/presentation/d/1mY9Q2QLoMn1Q0nIR6DzQeiyBpnOlFvKKY-kwlpaKjT4/edit?usp=sharing slides]
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*27.10. Exercise 5 CG [https://docs.google.com/presentation/d/17MbGgSry_JtmCclZ_Tr-Rin9scmMT9UZVQIjas5O7u0/edit?usp=sharing slides]
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*3.11. Consultations online
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*10.11. Exercise 1 CV [https://docs.google.com/presentation/d/1ycSRkd3tuj-sOjRaanrYTvQHcZkOSs_yCIkNjkwfMpg/edit?usp=sharing slides] [https://drive.google.com/file/d/1uGdO1Q_WsrIU2rjWS9UgO2IbBTqvxEYY/view?usp=sharing data] [https://drive.google.com/file/d/14SPrH_jBEeTN2nMx0NfL8vfmBxsvr6y7/view?usp=sharing bonus]
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*17.11. Holiday Exercise 2 CV (Recorded) [https://docs.google.com/presentation/d/1IxgO-uLd8jyOrTP-U0qUJduffgmuMriiJEoaP0iHZb0/edit?usp=sharing slides] [https://liveuniba-my.sharepoint.com/:v:/g/personal/haladova2_uniba_sk/EVhx3n6HMnNHvTdKTJqqSXABRDkIHLgCu1NlVo4EqGKknA?e=zKf4nY video]
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*24.11. Exercise 3 CV [https://docs.google.com/presentation/d/1TukhOGCl7tRNWbIWEXiJQiUxk_oye-7sWHju60ihjEM/edit?usp=sharing slides][https://drive.google.com/file/d/1kRJpC3xL1AEVwYM15rIu2ciQldg1Muiu/view?usp=sharing data]
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*1.12. Exercise 4 CV [https://docs.google.com/presentation/d/1VkKJjRB_FeBDZ_qaThgnPyMKejxmuGAV4824MXddk_Y/edit?usp=sharing slides] [https://drive.google.com/file/d/1GaLXdzw62I3HRvcZwTyfRk9tEaAHiXpV/view?usp=sharing data]
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*8.12. Exercise 5 CV [https://docs.google.com/presentation/d/1MqMF7ocu4A6IaQ29CHzCdJhZstINlf8AGBDINS2Ns9U/edit?usp=sharing slides]
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*15.12. Consultations online 
  
  

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