Important Information at a Glance

Lecture: Monday, 16:00 - 17:30 in Room 48-210 (see KIS) - First lecture on 25.04.2022

Exercise: Friday, 16:00 – 17:30 in Room 48-379 (see KIS) - First exercice will be announced via OLAT

OLAT Course: TUK_2D Image Processing_SoSe2022 (Password will be announced in first lecture)



Prof. Dr. Didier Stricker

Michael Fürst (michael.fuerst(at)


Lecture Topics

  • Color, HDR, image interpolation
  • Filters
  • Edges and corners
  • Feature tracking and optical flow
  • Detection and classification
  • Bayes Tracking (Kalman, EKF, and particle filters)

(The slides and videos will be published in the OLAT Course.)



Homework assignments (6 throughout semester) will consist of a theoretical part (questions) and a practical part (using OpenCV and Python), to be solved in groups of 2 or maximum of 4 students. These groups have to be enrolled in OLAT, where the exercise sheets will be handed out to all registered groups.

Answers to questions and implementations must be handed in via OLAT:

  • Homework submission is mandatory for being eligible to participate in the exam
  • Submission deadline will be given on each assignment in OLAT

Tutorial sessions will be held shortly after submission deadline:

  • Discussion of last exercise
  • Presentation/prepartion of current exercise
  • Discussion of lecture


Examination Date and Place

Examination details will be published via OLAT.


Bibliography (textbooks)

  • David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach
  • Richard Szeliski, Computer Vision: Algorithms and Applications