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

Basic knowledge of linear algebra, analysis, probability theory, C++ programming

Tuesday, 10:15-11:45, CP1-HSZ / Hörsaal 3

Friday, 10:15-11:45, CP1-HSZ / Hörsaal 3

Start: Tuesday, 9.10.

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

Monday, 14:15-15:45, Endenicher Allee 19a, 2.025

Wednesday, 12:15-13:45, Endenicher Allee 19a, 2.025

Start: Wednesday, 15.10.

Register until 11.10., 12:00, for the exercise groups via TVS. Students that are not enrolled at the University of Bonn, can get a TVS account from tvs@cs.uni-bonn.de .

Registration period: 1.12.-21.12.

Exam: Monday, 11.2., 9:30-11:30, CP1-HSZ / Hörsaal 3-7

Klausureinsicht: Wednesday, 20.2., 10:30-11:30, Endenicher Allee 19a, 2.037

2nd Exam: Monday, 25.3., 12:30-14:30, CP1-HSZ / Hörsaal 5-7

Klausureinsicht: Monday, 1.4., 10:30-11:30, Endenicher Allee 19a, 2.037