Welcome to the homepage of the lecture Image Processing and Computer Vision Summer Term 2019 

Home 
Image Processing and Computer Vision
Two Teaching Awards
(Winter Term 2011/2012, Mathematics and Computer Science)
Lectures (4h) with theoretical and programming assignments (2h); News – Type of Lectures – Prerequisites – Tutorials – Registration – Written Exam – Contents – Self Test – Material for the Programming Assignments – Example Solutions for the Assignments – Literature
10.08.19: The results of the second written exam are now online.
10.08.19:
Opportunity for exam inspection: 07.10.19: The second exam will take place in Building E2.2, Günter Hotz Lecture Theatre on Wednesday, October 9.
29.07.19:
Opportunity for exam inspection: 29.07.19: The results of the first written exam are now online. 19.07.19: The seating for the first written exam is now online. 16.07.19: The list of admitted student is now online. 13.05.19: The lecture on 21.05.19 will take place in Lecture Hall 001 in E1.3. 07.05.19: The W4 tutorial on 08.05.19 will be held in Lecture Hall 003 in E1.3. 25.04.19: Due to the holiday on 01.05.19, there will be an additional tutorial on April 30, which replaces the Wednesday tutorials. It will take place in Building E1.3, Lecture Hall 002 from 16:15 to 18:00. Attendance is optional. 18.04.19: The deadline for Homework 1 has been moved to 23.04.19. 15.04.19: The mailboxes for the tutorial groups have been moved to Building E2.5. 15.04.19:
The lecture has been shifted to larger lecture halls: 11.04.19:
We have added three new tutorial groups. 11.04.19:
We will be adding more tutorial slots at 10.04.19:
Thank you all for your interest in IPCV. Currently all the tutorial
groups are full. Please continue to register for the course while we
work on adding more tutorial slots. 01.04.19: The website is online. Broad introduction to mathematically wellfounded areas of image processing and computer vision. These fields are important in numerous applications including medical image analysis, computeraided quality control, robotics, computer graphics, multimedia and artificial intelligence. The classes qualify for starting a bachelor's thesis in our group. This course is suitable for students of visual computing, mathematics, computer science, bioinformatics, computer and communications technology, and physics. It counts e.g. as a visual computing core course within the visual computing programme, an applied mathematics course within mathematics, or a core course (Stammvorlesung) in computer science. It is based on undergraduate mathematical knowledge from the first three semesters (such as "Mathematics for Computer Scientists IIII"). For the programming assignments, some elementary knowledge of C is required. The lectures are given in English. 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 permitted, but all persons must be
in the same tutorial group.
If you miss a tutorial because you are sick, you can still get the points
for participation, if you bring a doctor's certificate. If you have questions concerning the tutorials, please do not hesitate to contact Jón Arnar Tómasson.
Nine groups are scheduled for Tuesday and Wednesday afternoon:
If you have difficulties with the programming assignments, feel free to participate in
The tutors can be reached via the mail addresses: Between Tue, April 9, 2019, 14:00 and Fri, April 12, 2019, 14:00, you could register for this course. Registration is now closed. You can still check which group you are finally in. Please register also in the HISPOS system. Please note that the HISPOS registration is completely independent of the lecture registration and is not administered by us. There will be two written exams, one at the beginning and one at the end of the semester break.
The first written exam takes place on
July 25th, 14:0017:00.
The second written exam takes place on
October 9th, 14:0017:00.
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, but each exam will count as an attempt
individually. Please check here whether you are admitted to the written exam. If you think that there is an error, please contact Jón Arnar Tómasson immediately.
Here is the distribution of places by family name (i.e. surname, last name)
for the first exam that takes place
on Thursday, July 25, 2019 from 14:00 to 17:00: For the second exam that takes place on Wednesday, October 9, 2019 from 14:00 to 17:00, all students will be in Building E2.2, Günter Hotz Lecture Theatre. Both exams will be closed book exams. You will have to follow these rules:
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 Building E1.7 on Tuesday, October 15, 2019 from 2:00 p.m. to 3:00 p.m. 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 Building E1.7 on Tuesday, July 30, 2019 from 2:00 p.m. to 4:00 p.m.
Course material is 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.
PART II: IMAGE PROCESSING
PART III: COMPUTER VISION AND IMAGE UNDERSTANDING

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
science library.
Furthermore, there is an interesting
online compendium,
where many researchers have written survey articles.
If you are looking for a specific reference, check out the
Annotated Computer Vision Bibliography.
Many highly cited articles can be found via
the Google Scholar webpage.
MIA Group
©20012020
The author is not
responsible for
the content of
external pages.
Imprint 
Data protection