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Image Processing and Computer Vision
Winter term 2007 / 2008
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Image Processing and Computer Vision
Prof. Joachim Weickert
(Building E1.1, Room 3.11, Phone 0681-302-57340)
Winter term 2007 / 2008
Lectures (4h) with theoretical and programming assignments (2h);
9 ECTS points
Lectures: Tuesday and Thursday, 10-12 c.t., Building E13, Lecture Hall 002
First lecture: Tuesday, October 23, 2007
Tutorials: 2 hours each week; see below.
Tutorials – Prerequisites – Types of Lectures – Tutorials – Written Exam – Contents – Material for the Programming Assignments – Literature
6 groups are scheduled for Tuesday and Wednesday:
- Group T1: Tue, 14-16
Bldg. E1 3, seminar room 16 (theory); Bldg. E1 3, CIP 105 (programming) - Group T2: Tue, 14-16
Bldg. E1 3, seminar room 14 (theory); Bldg. E2 4, CIP U009 (programming) - Group T3: Tue, 16-18, also honours programme (Förderstudierende)
Bldg. E1 3, seminar room 16 (theory); Bldg. E1 3, CIP 105 (programming) - Group T4: Tue, 16-18, in German
Bldg. E1 3, seminar room 14 (theory); Bldg. E2 4, CIP U009 (programming) - Group W1: Wed, 14-16
Bldg. E1 3, seminar room 16 (theory); Bldg. E2 4, CIP U009 (programming) - Group W2: Wed, 16-18
Bldg. E1 3, seminar room 14 (theory); Bldg. E2 4, CIP U009 (programming)
Registration:
Registration is closed. It was open from
Tue, Oct. 23, 2007, 15:00h until Fri, Oct. 26,
2007, 15:00h.
This course is suitable for students of visual computing, mathematics or computer science. It counts either as a theoretical core course (Theorie-Stammvorlesung) 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 well-founded areas of image
processing and computer vision.
These fields are important in numerous applications including
medical imaging, computer-aided 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 in-depth
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. If you have questions concerning the tutorials, please do not hesitate to contact Dr. Andrés Bruhn. The tutorials are conducted by Thomas Bühler, Oliver Demetz, Luis Pizarro, and Sebastian Zimmer.
The first written exam took place on Friday, February 29, 2008
from 2:00 to 5:00 pm.
The second written exam took place on Wednesday, April 9, 2008 from
2:00 to 5:00 pm.
In order to qualify for the exams you need 50% of all points from the
assignments.
Theoretical and practical assignments count for the final score.
In case of qualification, you are allowed to take part in both exams.
The better grade counts.
These are the rules during the exams:
- For the exams, you can use the IPCV course material (including lecture notes and example solutions from this web page) and hand-written tutorial notes, but no books.
- Pocket calculators are not allowed.
- Mobile phones, PDAs, laptops and other electronic devices have to be turned off.
- Please keep the student ID card ready for an attendance check during the exam.
NEWS:
the cerfificates (Scheine) for IPCV are issued by the office
of the Mathematics Department. They can be obtained from Mrs. Voss,
Building E2.4, Room 111 (math building, ground floor, 8.15-11.30 AM).
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 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:
- J. Bigun: Vision with Direction. Springer, Berlin, 2006.
- R. C. Gonzalez, R. E. Woods: Digital Image Processing. Addison-Wesley, Second Edition, 2002.
- K. D. Tönnies: Grundlagen der Bildverarbeitung. Pearson Studium, München, 2005.
Specific computer vision books include
- E. Trucco, A. Verri: Introductory Techniques for 3-D Computer Vision. Prentice Hill, Upper Saddle River, 1998.
- R. Jain, R. Kasturi, B. G. Schunck: Machine Vision. McGraw-Hill, New York, 1995.
- R. Klette, K. Schlüns, A. Koschan: Computer Vision: Three-Dimensional 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.
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