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Lecture Differential Equations in Image Processing and Computer Vision Summer Term 2003 |
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Differential Equations in Image Processing and Computer Vision
Lectures (4h) with theoretical and programming exercises (2h) The written exam took place on July 28. The results are displayed on floor 4, building 27.2, and can also be retrieved here. Opportunity for inspection of the graded exam sheets is given on August 21, from 4 p.m., in building 27.2, room 26 (basement, next to Mr. Hoffmann's flat).
Lectures: Tuesday, Friday 11-13 c.t., Building 45, Lecture Hall 3
Exercises (please register!):
Theoretic and programming exercises are held in weekly alternation.
Equally suited for students of mathematics and computer science. Requires undergraduate knowledge in mathematics (e.g. ''Mathematik für Informatiker I,II'') . Knowledge in image processing or differential equations is useful, but not required. The lectures will be given in English if requested. 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 PDE-based techniques. In this course we will get an in-depth 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.
Since this class guides its participants to many
research topics in our group, its attendance is required for
everyone who wishes to pursue a diploma or master thesis in our
group.
A balance of theoretical and programming assignments will be offered. Previous experiences have shown that they are very helpful for understanding the methods that are presented in the lectures. The exercises are supervised by Martin Welk and Dmitry Ovrutskiy.
Joachim Weickert / July 31, 2003 / back to MIA home. The author is not responsible for the content of external pages. |
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