Welcome to the homepage of the lecture Differential Equations in Image Processing and Computer Vision Winter Term 2022 / 2023 

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Differential Equations in Image Processing and Computer Vision
Four Teaching Awards (3 in Computer Science, 1 in Mathematics)
Lecturer:
Dr. Joachim Weickert
Lectures (4h) with tutorials (2h) News – Synopsis – Prerequisites – Tutorials – Registration – Written Exams – Contents – Self Test – Material for the Programming Assignments – Example Solutions for the Assignments – References
24. 02. 2022:
The results of the first exam are online.
22. 02. 2022:
Opportunity for exam inspection:
20. 02. 2022:
The list of admitted students is online.
28. 10. 2022:
Due to a holiday, the first tutorials were moved to Monday, October 31.
28. 10. 2022:
The registration is closed. The password for downloading material and
the permanent Zoom link was emailed to registered participants.
27. 10. 2022:
The second exam was moved from Wednesday, March 29 to Monday, March 27 from 14:00 to 17:00.
26. 10. 2022:
The registration now is open.
18. 10. 2022:
Registration will be possible on this webpage between Wednesday,
Oct. 26, 13:00 and Friday, Oct. 28, 15:00. See below.
18. 10. 2022: The website is online.
Many modern techniques in image processing and computer vision make
use of methods based on partial differential equations (PDEs) and
variational calculus. Moreover, many classical methods may be
reinterpreted as approximations of PDEbased techniques. In this
course we will get an indepth insight into these methods.
For each of these techniques, we will discuss the basic ideas
as well as theoretical and algorithmic aspects. Examples from
the fields of medical imaging and computer aided quality control
illustrate the various application possibilities.
Equally suited for students of visual computing, mathematics and computer science. Requires undergraduate knowledge in mathematics (e.g. ''Mathematik für Informatiker IIII''). Knowledge in image processing or differential equations is useful, but not required. The lectures will be given in English. In the online tutorials via Zoom we discuss the homework assignments (theory and programming). The programming assignments give an intuition about the way how image processing and computer vision algorithms work, while the theoretical assigments provide additional insights, also from a mathematical perspective.
For the homework assignments you can obtain up to 24 points per week.
To qualify for both exams you need 50 percent of all possible points.
Working in groups of up to 3 people is permitted, but all persons must be
in the same tutorial group. By presenting your solution to a homework problem in the tutorials, you can earn 2 bonus points.
If you have questions concerning the tutorials, please do not hesitate
to contact
Karl Schrader.
The tutorial group can be reached via the mail address Registration is now closed. You can still check in which group you are via web form. It is planned to have two written exams. Changes due to the development of the Covid19 pandemic cannot be excluded. In this case you will be informed as soon as possible.
The first written exam will take place on
The second written exam will take place on
In order to qualify for the exams you need a total amount of 50 percent of all
possible points from the homework assignments.
In case of qualification, you are allowed to take part in both exams.
The better grade counts, but each exam will count as an individual attempt.
Please check here whether you are
admitted to the written exam. Additionally, you have to be registered for
the exam in the HISPOS system. If you think that there is an error, please
contact Karl Schrader as soon as possible.
Please do not forget to bring your student ID card with you. The exams will be closed book. These are the rules during the exams:
The results of the first written exam can be found here, and the corresponding distribution of points and grades here. Each student who has participated in the first written exam has the opportunity to inspect his/her graded solutions in Room 4.10, Building E1.7 on Friday, February 24, 13:0014:00.
Course material will be made available on this webpage in order to
support the classroom teaching and the tutorials, not to replace
them. Additional organisational information, examples and explanations
that may be relevant for your understanding and the exam are provided
in the lectures and tutorials. It is solely your responsibility
 not ours  to make sure that you receive this infomation.
Here you can download a selftest problem sheet, that contains 6 problems, which are intended to be similar in style and difficulty to a 180minutes written exam.
Here you can download the material for the programming assignments:
Here you can download example solutions for the assignments:


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