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Riadok 9: | Riadok 9: | ||
__TOC__ | __TOC__ | ||
− | ; | + | ; Lectures |
− | : | + | :[[Martin Madaras|Martin Madaras]] |
+ | :[[Zuzana Berger Haladova|Zuzana Berger Haladová]] | ||
+ | |||
; Excercises | ; Excercises | ||
− | : | + | : [[Zuzana Berger Haladova|Zuzana Berger Haladová]] |
=== Grading === | === Grading === | ||
Riadok 29: | Riadok 31: | ||
---- | ---- | ||
== Lectures == | == Lectures == | ||
− | + | *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 ] | ||
+ | *9.11. Snimanie obrazu [https://docs.google.com/presentation/d/1mxQZt2V2fwaNZlZ2c4QVOXlJunyBBbGRfIv68yjBZXQ/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] | ||
+ | *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 | ||
+ | <!--- | ||
[http://www.sccg.sk/~madaras/students.html CG slides ] | [http://www.sccg.sk/~madaras/students.html CG slides ] | ||
*3.11. Snimanie [https://docs.google.com/presentation/d/1mxQZt2V2fwaNZlZ2c4QVOXlJunyBBbGRfIv68yjBZXQ/edit?usp=sharing 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] | *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] | *24.11. Segmentacia [https://docs.google.com/presentation/d/1Rgos4gePcXCjhmhwu-DUto18yKvQrUifJZnnr8k2-ms/edit?usp=sharing slides] | ||
− | *1.12. Image classification and Pattern recognition | + | *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 | + | *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 | *15.12. Exam, online cez Teams | ||
− | + | ---> | |
== Labs == | == Labs == | ||
+ | Points [https://docs.google.com/spreadsheets/d/12DMrmDswrCqdNMd-02RpbbzofmYk-PGfbWB-kJwHDBA/edit?usp=sharing table] | ||
+ | |||
+ | CV [https://docs.google.com/document/d/1JLmTNcAQLi0XtcyTqTcvGExXptJaMH0rnbhYgAyROcU/edit?usp=sharing] Assignment due to 6.12.2022 6:00 | ||
+ | |||
+ | *22.9. Lab excursion | ||
+ | *29.9. Exercise 1 CG [https://docs.google.com/presentation/d/1v7SWRgfa1ihLjcLxeIUGDVAIWeBjlNwjrpkxrvv1q9Q/edit?usp=sharing slides] | ||
+ | *6.10. Exercise 2 CG [https://docs.google.com/presentation/d/1DK8_GjOTbYONvwXiauMT6ABQHNY5o69ZtnxmTRfyCnA/edit?usp=sharing slides] | ||
+ | *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] | ||
+ | *20.10. Exercise 4 CG [https://docs.google.com/presentation/d/1mY9Q2QLoMn1Q0nIR6DzQeiyBpnOlFvKKY-kwlpaKjT4/edit?usp=sharing slides] | ||
+ | *27.10. Exercise 5 CG [https://docs.google.com/presentation/d/17MbGgSry_JtmCclZ_Tr-Rin9scmMT9UZVQIjas5O7u0/edit?usp=sharing slides] | ||
+ | *3.11. Consultations online | ||
+ | *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] | ||
+ | *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] | ||
+ | *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] | ||
+ | *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] | ||
+ | *8.12. Exercise 5 CV [https://docs.google.com/presentation/d/1MqMF7ocu4A6IaQ29CHzCdJhZstINlf8AGBDINS2Ns9U/edit?usp=sharing slides] | ||
+ | *15.12. Consultations online | ||
+ | |||
− | |||
<!--- | <!--- | ||
+ | * Slides & project assignment: [https://github.com/danasko/zpgso GitHub] | ||
+ | |||
Guide: Adam Riečický | Guide: Adam Riečický | ||
Verzia zo dňa a času 19:36, 7. január 2023
Fundamentals of Computer Graphics and Image Processing 1-AIN-301
Obsah
- 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
- Žára a kol. Moderní počítačová grafika
- Ružický, Ferko: Počítačová grafika a spracovanie obrazu
- Šikudová a kol. Počítačové videnie: Detekcia a rozpoznávanie objektov
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
- 22.9. Lab excursion
- 29.9. Exercise 1 CG slides
- 6.10. Exercise 2 CG slides
- 13.10. Exercise 3 CG slides priklad na DDA
- 20.10. Exercise 4 CG slides
- 27.10. Exercise 5 CG slides
- 3.11. Consultations online
- 10.11. Exercise 1 CV slides data bonus
- 17.11. Holiday Exercise 2 CV (Recorded) slides video
- 24.11. Exercise 3 CV slidesdata
- 1.12. Exercise 4 CV slides data
- 8.12. Exercise 5 CV slides
- 15.12. Consultations online