Available courses for students of Tallinn University of Technology

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Computer Vision Methods
Computer Science and ICT, Data, AI
Organization logo: Czech Technical University in Prague

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 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

Expected 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.


Lecures and lab-work

  • Local course code
  • Study load
    ECTS 6
  • Level
  • Contact hours per week
  • Instructors
    Ing. 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 delivery
  • Course coordinator
If anything remains unclear, please check FAQ page.
  • Start date

    19 February 2024

    • End date
      22 September 2024
    • Main language
    • Apply between
      11 Dec and 19 Jan 2024
    Enrolment period closed