Fachgebiet Augmented Vision


IMPORTANT - Examination location:

The 2nd exam in: 42-115



The content of the lecture will be updated on this page at the appointments defined in the KIS lecture and exercises appointments.


Lecture: Monday, 15:30-17:00
Exercise: Friday, 15:15 – 16:45


Prof. Dr. Didier Stricker

Fangwen Shu (Fangwen.Shu(at)dfki.de)



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

Slides and Online Course Material

The slides and videos will be continuously added here:




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.

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

  • Homework submission is mandatory for being eligible to participate in the exam
  • Submission deadline, tutor and online exercise session will be given on each assignment

Tutorial sessions will be held shortly after submission deadline:

  • Discussion of last exercise
  • Presentation/prepartion of current exercise
  • Discussion of lecture
  • Friday, 15:15 – 16:45, online!

Exercise sheets

Exercices and material:

  • Exercise 1:  04.05.2020 (Exercise01) Submission Deadline: passed
  • Exercise 2:  19.05.2020 (Exercise02) Submission Deadline: passed
  • Exercise 3:  29.05.2020 (Exercise03) Submission Deadline: passed
  • Exercise 4:  12.06.2020 (Exercise04) Submission Deadline: passed
  • Exercise 5:  19.06.2020 (Exercise05) Submission Deadline: passed
  • Exercise 6:  03.07.2020 (Exercise06) Submission Deadline: passed.

Examination Date and Place:

See update news!


Bibliography (textbooks)

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