Welcome to the homepage of the lecture Differential Equations in Image Processing and Computer Vision Winter Term 2016 / 2017 

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Differential Equations in Image Processing and Computer Vision
Three Computer Science Teaching Awards (Summer Terms 2003 and 2006, Winter Term 2015)
Lecturer:
Dr. Pascal Peter
Lectures (4h) with theoretical exercises (2h) NEWS: The admission list for the exam is now online. NEWS: The first lecture has been moved to Tuesday, October 25, 6 p.m., Building E 1.3, Lecture Hall 003. NEWS: The tutorials on Tuesday, November 1 have been moved to November 2, 6 p.m., Building E 1.3, Lecture Hall 003. See the tutorial section for more info. NEWS: Registration is open. NEWS: Registration is closed. NEWS: The admission list for the exam is now online. NEWS: The results of the first written exam are now online. NEWS:
Opportunity for exam inspection:
NEWS:
The results of the second written exam are now
online. NEWS:
Opportunity for exam inspection: Synopsis – Prerequisites – Tutorials – Registration – Written Exams – Contents – Self Test – Material for the Programming Assignments – Example Solutions for the Assignments – References
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. A combination of classroom and homework assignments (including theoretical as well as programming problems) is offered. The classroom assignments are intended to be solved in the tutorials and are not graded. The homework assignments are intended to be solved at home and have to be submitted on Friday, at 10.00 am before the lecture. In order to qualify for the exam you must
Working in groups of up to 3 people is permitted, but all persons must be in
the same tutorial group.
Both classroom as well as homework assignments will be discussed in the
tutorials.
The tutorial group can be reached via the mail addresses: Due to a public holiday, the tutorials on November 1 have been moved to November 2, 6 p.m. in Lecture Hall 003 in Building E 1.3. Both tutorials will be held in that time slot and it is not mandatory to attend. Registration is now closed. You can still check in which group you are via web form.
The first written exam will take place on
The second written exam will take place on In order to qualify for the exams you must
In case of qualification, you are allowed to take part in both exams. The better grade counts. Please note that in contrast to previous semesters, the exams count as two attempts instead of one (due to the new study regulations). 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 Sarah Andris as soon as possible. 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 in Bldg. E1.7 on Friday, February 24, 2017, from 2:00 p.m. to 3:00 p.m. The results of the second written exam can be found here, and the corresponding distribution of points and grades here. Each student who has participated in the second written exam has the opportunity to inspect his/her graded solutions in room 4.10 in Bldg. E1.7 on Friday, April 7, 2017, from 1:00 p.m. to 1:45 p.m.
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:
Sample solutions are only available during the semester.


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