Fachgebiet Augmented Vision

News

IMPORTANT - Examination Registering:

The 2nd exam is open to register.

 

IMPORTANT - Examination Date:

Termine und Ort 1:

Fr (24.07.2020), 08:30 - 11:00, 46-215

Fr (24.07.2020), 08:30 - 11:00, 46-210

 

Termine und Ort 2:

Mi (30.09.2020), 08:30 - 11:00, 24-102

 

For the students who took the lecture last year:

  • Please register the exam as soon as possible!
  • Please also send your email to (Fangwen.Shu(at)dfki.de), with your name and ID. We will check your exercise submission status from last year.
  • Please notice that we modify the lecture content this year (remove the deep learning part, add Fourier  transformation.. etc).

 

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

Schedule

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

Contacts

Prof. Dr. Didier Stricker

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

 

Topics

  • 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:

 

Exercises

Policy

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:

There will be a written examination conducted in the end of the course.

Termine und Ort 1:

Fr (24.07.2020), 08:30 - 11:00, 46-215

Fr (24.07.2020), 08:30 - 11:00, 46-210

 

Termine und Ort 2:

Mi (30.09.2020), 08:30 - 11:00, 24-102

Bibliography (textbooks)

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