Welcome to the homepage of the lecture
Image Processing and Computer Vision
Summer Term 2023
Image Processing and Computer Vision
Three Teaching Awards
(2 in Computer Science, 1 in Mathematics)
Lectures (4h) with theoretical and programming assignments (2h);
News – Lecture Content – Prerequisites – Tutorials – Registration – Written Exams – Lecture notes / Assignments – Literature
19.04.2023: The registration is now closed.
05.04.2023: Interested in the class? Read the welcome flyer and register to get access to Teams.
03.03.2023: Website is now online. Registration and more detail information will be available closer to the start of the semester.
This class gives a broad introduction to the mathematically well-founded and model-based areas of image processing and computer vision. These fields are important in numerous applications including medical image analysis, computer-aided quality control, robotics, computer graphics, multimedia, data science, machine learning, and artificial intelligence. The class is required for starting a bachelor thesis in our group.
It is planned that this class will be continued in the winter term with the class "Differential Equations in Image Processing and Computer Vision" which will bring you closer to our research topics. Both classes are required to pursue a master thesis in our group.
This course is suitable for students of Visual Computing, Mathematics, Computer Science, Mathematics and Computer Science, Data Science and Artificial Intelligence, Bioinformatics, Mechatronics, and Physics. It counts e.g. as a visual computing core area course within the Visual Computing program, and as a core course (Stammvorlesung) within Mathematics or Computer Science.
It is based on undergraduate mathematical knowledge from the first three semesters (such as "Mathematics for Computer Scientists I-III"). For the programming assignments, some elementary knowledge of C is required. The lectures are given in English.
The tutorials are planned to take place as face-to-face teaching with online options. Further information will be announced closer to the beginning of the semester.
The tutorials include homework assignments (theory and programming) as well as classroom assignments. The programming assignments give an intuition about the way how image processing and computer vision algorithms work, while the theoretical assigments provide additional mathematical insights. Classroom assignments are supposed to be easier and should guide you gently to the main themes.
For the homework assignments you can obtain up to 24 points per week. Actively participating in the classroom assignments gives you 12 more points per week, regardless of the correctness of your solutions. To qualify for both exams you need 2/3 of all possible points. For 13 weeks, this comes down to 13 x 24 = 312 points. Working in groups of up to 3 people is highly encouraged.
If you have questions concerning the tutorials, please do not hesitate to contact Michael Ertel.
The tutorials are planned to be partially in person and online, and are
scheduled for Tuesday and Wednesday:
If you have difficulties with the programming assignments, feel free to consult our
Registration is now closed it was open until Tueday,
April 18, 2023, 23:59.
Please do not forget to register also in the HISPOS/LSF system (apart from Erasmus students). This system administrates your exam admission and your grades. It will allow registrations in the end of April.
The first exam takes place on July 25, 14:00-17:00.
In order to qualify for the exams you need a total amount of 2/3 of all
possible points from the homework and classroom assignments. In case of
qualification, you are allowed to take part in both exams.
The better grade counts. Each exam counts as an individual attempt.
Both exams will be closed book exams. Detailed rules can be found on MS Teams.
Lecture content in form slides and assignments are available for download via Microsoft Teams. Access will be granted after registration. In addition, we will provide pre-recoreded lecture videos from previous semesters. Note that the initial registration requires manual confirmation and can thus be delayed a bit.
There is no specific text book for this class, but many of our image processing topics are covered in one of the following books:
Computer vision books include
These and further books can be found in the mathematics and computer