About this course
The course covers selected computer vision problems: search for correspondences between images via interest point detection, description and matching, image stitching, detection, recognition and segmentation of objects in images and videos, image retrieval from large databases and tracking of objects in video sequences.
This course is also part of the inter-university programme prg.ai Minor. It pools the best of AI education in Prague to provide students with a deeper and broader insight into the field of artificial intelligence. More information is available at https://prg.ai/minor.
Learning outcomes
The methods for image registration, retrieval and for object detection and tracking are explained. In the labs, the students implement selected methods and test performance on real-world problems.
Course requirements
Knowledge of calculus and linear algebra.
Resources
- 1.M. Sonka, V. Hlavac, R. Boyle. Image Processing, Analysis and Machine Vision. Thomson 2007
- 2.D. A. Forsyth, J. Ponce. Computer Vision: A Modern Approach. Prentice Hall 2003
Activities
Lecures and lab-work
Additional information
- Coordinating facultyCzech Technical University in Prague
- Contact a coordinator
- CreditsECTS 6
- Contact hours per week4
- InstructorsIng. Šuma Pavel, doc. Tolias Georgios Ph.D., prof. Ing. Matas Jiří Ph.D., Ing. Čech Jan Ph.D., Mgr. Drbohlav Ondřej Ph.D., Mgr. Mishkin Dmytro Ph.D., Ing. Neumann Lukáš Ph.D.
- Mode of instructionHybrid
Offering(s)
Start date
17 February 2025
- Ends21 September 2025
- Term *Summer 2024/2025
- Instruction languageEnglish
- Register between24 Oct - 24 Nov 2024
Enrolment openApply now