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 are available at Slides/Recordings.
Basic knowledge of linear algebra, analysis, probability theory, Python programming
Tuesday, 10:15-11:45, HSZ / HS 3
Friday, 10:15-11:45, HSZ / HS 3
Start: Tuesday, 8.10.
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, 12:15-13:45, 2.025, Informatikzentrum
Wednesday, 14:15-15:45, 2.025, Informatikzentrum
Start: Wednesday, 16.10.
If you did not manage to register until 8.10., please contact Emad Bahrami as soon as possible.
Registration period: 1.12. - 21.12.
Written, details will be announced.
Exam: Thursday, 6.2., 10:00-12:00, Meckenheimer Allee 176, Hörsaal IV
2nd Exam: Monday, 24.3., 12:00-14:00, Meckenheimer Allee 176, Hörsaal IV