Visual Computing in Winter Term 2023/2024
Course: |
Medieninformatik (B.Sc.) |
LV-Art.: |
Vorlesung + Praktikum (2 + 4 SWS) |
LV-Nr.: |
7861 |
Credits: |
10 |
Appoints.: |
Fr. 10:00-11:30 (seminar, D18) |
|
Fr. 11:45-15:30 (practical work, D18)
|
Exam: |
TBA |
|
|
Topics
- Image formation and processing
- Feature detection and matching
- Segmentation
- Shape from X
- Deep Learning
Prerequisites
- Programming (Python)
- Calculus and linear algebra
- Basic knowledge in computergraphics would be helpful
Documents
(for online lectures see
zapp.mi.hs-rm.de, for assignment submission see
read.mi.hs-rm.de
- Formulars: Prüfungsantritt, Freiwillige Zusatzleistung
- LaTeX-Template for the 4-6 pages long project documentation
- Slides of Lecture 1, Assignment 1, covtest.dat, cover.zip
- Slides of Lecture 2, Assignment 2, calibrationImagesCheckerboard.zip
- Slides of Lecture 3, Assignment 3
- Slides of Lecture 4, Assignment 4, koreanSigns.png
- Slides of Lecture 5, Assignment 5, Church.zip
- Slides of Lecture 6, Assignment 6
Presentations (02.02.2024)
- Superresolution
- Virtual Character Scanning
- VR Painting
- Colorization
References
- Ma, Y.; Soatto, S.; Kosecke, J.; Sastry, S. S.; An Invitation to 3-D Vision, Springer, 2004
- Forsyth, D.; Ponce, J.; Computer Vision. A Modern Approach, Prentice Hall, 2003
- Hartley, R.; Zisserman, A.; Multiple View Geometry in Computer Vision, Cambridge University Press, 2003
- Bradski, G.; Kaehler, A.; Learning OpenCV: Computer Vision with the OpenCV Library, O’Reilly Media, 2008
- Lélis Baggio, D.; Emami, S.; Millán Escrivá, D.; Ievgen, K.; Mahmood, N.; Saragih, J.; Shilkrot, R.; Mastering OpenCV with Practical Computer Vision Projects, Packt Publishing, 2012
- Laganiére, R.; OpenCV 2 Computer Vision Application Programming Cookbook, Packt Publishing, 2011
- Szeliski, R.; Computer Vision: Algorithms and Applications, Springer, 2010 (http://szeliski.org/Book/)
- Goodfellow, I., Benito, Y., Courville, A.; Deep Learning, MIT Presse, 2016 (https://www.deeplearningbook.org)