The lecture is offered for the Master of Science degrees: Computer Science (MA-INF 2201) and Mobile Robotics (MA-MOROB-M04).
Tentative: Linear filters, Edges, Derivatives, Hough Transform, Segmentation, Graph Cuts, Mean Shift, Active Contours, Level Sets, MRFs, Expectation Maximization, Background Subtraction, Temporal Filtering, Active Appearance Models, Shapes, Optical Flow, 2D Tracking, Cameras, 2D/3D Features, Stereo, 3D Reconstruction, 3D Pose Estimation, Articulated Pose Estimation, Deformable Meshes, RGBD Vision
The slides and recordings will be provided via sciebo.
Basic knowledge of linear algebra, analysis, probability theory, Python programming
Tuesday, 10:15-11:45, HS XVI, Nußallee 17
Friday, 10:15-11:45, HS XVI, Nußallee 17
Start: Tuesday, 14.10.
Theory and programming. At least 50% of the exercise points are required to qualify for exam. The programming exercises are implemented in Python and OpenCV. The focus of the exercises is on implementing algorithms presented in the lecture. If you are not comfortable with OpenCV, we recommend to have a look at the OpenCV Tutorials. The first exercise sheet, which is an introduction to OpenCV, will be released on the date of the first lecture.
Schedule
Wednesday, 12:00-13:00, 2.025, Institute of Computer Science, Friedrich-Hirzebruch-Allee 8
Wednesday, 13:00-14:00, 2.025, Institute of Computer Science, Friedrich-Hirzebruch-Allee 8
Wednesday, 14:00-15:00, 2.025, Institute of Computer Science, Friedrich-Hirzebruch-Allee 8
Wednesday, 15:00-16:00, 2.025, Institute of Computer Science, Friedrich-Hirzebruch-Allee 8
Start: Wednesday, 22.10.
Register until 14.10. for the exercise groups: registration form. For the registration, you have to use your email address of the University of Bonn.
If you did not manage to register until 14.10., please contact Jinhui Yi as soon as possible.
Registration period: 1.12. - 21.12.
Written, details will be announced.
Exam: Thursday, 24.2. (tbc)
2nd Exam: Monday, 20.3. (tbc)