News
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.
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:
- 20.04.2020: Introduction (slides and videos)
- 27.04.2020: OpenCV Tutorial (slides)
- 04.05.2020: Filters (slides and videos)
- 11.05.2020: Filters 2 (slides, paper, video)
- 18.05.2020: Edge and corner detection (slides and two videos)
- 25.05.2020: Scale Invariance and Blob Detection ( slides and two videos)
- 08.06.2020: Feature Matching, Tracking and Optical Flow (slides and two videos)
- 15.06.2020: Classification and SVM (slides and videos)
- 22.06.2020: Face Detection and Recognition - AdaBoost and Eigenfaces (slides and video)
- 29.06.2020: Introduction to Bayesian Tracking (slides and videos)
- 06.07.2020: Bayes Tracking: Kalman Filter (slides and videos)
- 13.07.2020: Bayes Tracking: Extended Kalman and Particle Filters (slides)
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:
See update news!
Bibliography (textbooks)
- David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach
- Richard Szeliski, Computer Vision: Algorithms and Applications