Welcome to the homepage of the lecture Image Processing and Computer Vision Winter term 2010 / 2011 

Home 
Image Processing and Computer Vision
Lectures (4h) with theoretical and programming assignments (2h);
SECOND EXAM RESULTS ONLINE:
The results for the second written exam is online. You can find
the individual results at this
query page
.
A histogram of the second exam results can be found here.
Opportunity for exam inspection: Types of Lectures – Prerequisites – Tutorials – Written Exam – Contents – Self Test – Material for the Programming Assignments – Example Solutions for the Assignments – Literature
Broad introduction to mathematically wellfounded areas of image
processing and computer vision.
These fields are important in numerous applications including
medical imaging, 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 (theoretical) core course (TheorieStammvorlesung) in computer science. It is based on mathematical knowledge from the first two semesters. For the programming assignments, some elementary knowledge of C is required. The lectures are given in English.
The tutorials include programming and theoretical 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.
There is no compulsory attendance for the tutorials. However, missing a
tutorial results in losing 50% of the possible score of the latest assignment.
If you miss a tutorial partially, you will lose the points that correspond the
proportion of missed time.
Working in groups of up to 3 people is permitted, but all persons must be in the
same
tutorial group.
Seven groups are scheduled from Monday to Wednesday:
Registration: You can register for this course and enroll for a tutorial between Tue, Oct. 19, 2010, 5 pm and Fri, Oct. 22, 2010, 3 pm
There will be two written exams:
The student ID numbers of all students who qualified for taking part in the
exams can be at the notification board of the MIA group.
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.
PART II: IMAGE PROCESSING
PART III: COMPUTER VISION AND IMAGE UNDERSTANDING
At the end of the semester there will be a
selftest problem sheet which contains 6 problems that are intended to be
similar in style and difficulty to a 180minutes written exam.
The following selftest problem sheet
contains 6 problems, which are intended to be similar in style
and difficulty to a 180minutes written exam.
Here you can download material for the programming assignments.
There is no specific book for this class, but most image processing topics are treated in one of the following books:
Specific computer vision books include
These and further books can be found in the applied mathematics and computer
science library.


MIA Group 