Image Processing and Computer Vision
Prof. Joachim Weickert
Winter term 2005 / 2006
Lectures (4h) with theoretical and programming assignments (2h);
9 ECTS points
Lectures: Tuesday and Thursday, 1113 c.t., Building E13/45,
Lecture Hall 2
First lecture: Tuesday, October 18, 2005
Tutorials: 2 hours each week; see below.
Regulations for the Tutorials –
Prerequisites –
Types of Lectures –
Tutorials –
Written Exam –
Contents –
Material for the Programming Assignments –
Solutions to Exercises –
SelfTest Problems –
Literature
8 groups are scheduled for Tuesday and Wednesday:
 Group T1: Tue, 1416, Bldg. E13/45, room 016 (theory), Bldg. E24/27.1, CIPpool U009 (programming)
 Group T2: Tue, 1416, Bldg. E24/27.1, room 012 (theory), Bldg. E13/45, CIPpool 012 (programming)
 Group T4: Tue, 1618, Bldg. E13/45, room 016 (theory), Bldg. E24/27.1, CIPpool U009 (programming)
 Group T5: Tue, 1618, Bldg. E24/27.1, room 215 (theory), Bldg. E13/45, CIPpool 012 (programming)
The tutorials of group T5 will be held in German.
 Group W1: Wed, 911, Bldg. E13/45, room 015 (theory), Bldg. E24/27.1, CIPpool U009 (programming)
 Group W2: Wed, 1113, Bldg. E13/45, room 014 (theory), Bldg. E24/27.1, CIPpool U009 (programming)
 Group W4: Wed, 1416, Bldg. E13/45, room 014 (theory), Bldg. E24/27.1, CIPpool U009 (programming)
also honours programme (Förderstudierende)
 Group W5: Wed, 1618, Bldg. E24/27.1, room 012 (theory), Bldg. E24/27.1, CIPpool U009 (programming)
You could enroll
for a tutorial from Wed, Oct. 19, 2005, 23:00h until Sun, Oct. 23,
2005, 23:00h.
Tuesday groups start on October 25, Wednesday groups on October 26.
This course is suitable for students of mathematics or computer
science. It counts either as a theoretical core course
(TheorieStammvorlesung) in computer science or as an applied
mathematics course. 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.
Broad introduction into 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 thesis in our group.
The lectures are continued in the summer term by the indepth
course "Differential Equations in Image Processing and
Computer Vision" which leads to current research topics.
Both classes are necessary in order to pursue a diploma or
master thesis in our group.
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.
The tutorials are conducted by
Andrés Bruhn, Mahmoud Fouz, Christian Schmaltz, Ellen Schmeyer,
and Oliver Vogel.
The written exam took place on February 21, 2006 at 2 PM.
A second exam will be offered on April 7, 2006 at 2 PM (until 5 PM).
All students have the opportunity to improve their mark from the first exam in the second
one. Only the BETTER mark counts.
Here is the distribution of places for the second exam:
Students ALBESSER  KAHL go to the MATH I lecture hall in building E2.5
Students KAISER  NGUYEN : MATH II lecture hall
Students NIKOLOVA  SCHEFER : MATH III lecture hall
Students SCHERBAUM  ZUKOWSKI : Computer Science building E13, lecture hall 2
Please do not forget to bring your student ID card with you.
The following thresholds were applied in determining the grades:
 grade 1.0 : 56  64 points
 1.3 : 53  55
 1.7 : 51  52
 2.0 : 48  50
 2.3 : 46  47
 2.7 : 43  45
 3.0 : 41  42
 3.3 : 38  40
 3.7 : 35  37
 4.0 : 32  34
 5.0 : 0  31
The detailed distribution of points and marks can be found
here.
The results can be queried via our online query form.
You could inspect your exam sheets on Friday, March 10,
building E1.1, room 3.06 (3rd floor).
The time depended on your last name:
A  H : 1 pm  2 pm
I  P : 2 pm  3 pm
Q  Z : 3 pm  4 pm
Please note that the material on this webpage is made available
to support the classroom teaching and the tutorials, not to replace
them. Additional organisational informations, 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.
There is no specific book for this class, but most image processing
topics are treated in one of the following books:
 R. C. Gonzalez, R. E. Woods:
Digital Image Processing.
AddisonWesley, Second Edition, 2002.
 K. D. Tönnies:
Grundlagen der Bildverarbeitung. Pearson Studium,
München, 2005.
 K. R. Castleman: Digital Image Processing.
Prentice Hall, Englewood Cliffs, 1996.
Specific computer vision books include
 E. Trucco, A. Verri:
Introductory Techniques for 3D Computer Vision.
Prentice Hill, Upper Saddle River, 1998.
 R. Jain, R. Kasturi, B. G. Schunck:
Machine Vision. McGrawHill, New York, 1995.
 R. Klette, K. Schlüns, A. Koschan:
Computer Vision: ThreeDimensional Data from Images.
Springer, Singapore, 1998.
These and further books can be found in the computer science library.
Furthermore, there is an interesting
online compendium,
where many researchers have written survey articles.
General informations and numerous links can be found at the
Computer Vision Homepage.
If you are looking for a specific reference, check out
Keith Price's Annotated Computer Vision Bibliography.
Numerous citations and online articles can be extracted from
the CiteSeer webpage.
