Basic Mathematical Tools for Imaging and Visualization - IN2124
Administrative Info
Lecture: Dr. Tobias Lasser
Exercises: Oliver Zettinig, Nicola Rieke
IN2124: 2+2 SWS, 5 ECTS
The lecture is given in English.
Contact
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Time & Location
Lecture and exercise:
- Monday, 16:15 - 17:45, room MI HS 2
- Thursday, 16:00 - 17:30, room MI HS 2
Exam:
- Thursday, 11/02/2016, 14:30 - 16:00, MI Hörsaal 1
- Duration: 90 minutes
- Allowed material: none
- Exam inspection: Wednesday, 24/02/2016, 10:00 in MI 03.13.061
Repeat exam:
- Thursday, 31/03/2016, 14:30 - 16:00, Interims Hörsaal 2
- Duration: 90 minutes
- Allowed material: none
- Exam inspection: Friday, 15/04/2016, 14:00 in MI 03.13.061 ONLY after registering by email!
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Site Content
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Announcements
- The final list for the grade bonus of 0.3 is available here.
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Overview
For the development, but also for the application of many image processing techniques and computer vision algorithms, a deep mathematical understanding is of fundamental importance. This lecture aims to provide interested students with a solid mathematical basis for imaging and visualization applications.
Script
The script to the lecture is now available (
status: 25/01/2016):
Course Schedule
Literature
MATLAB
Wolfram Alpha
- For quickly calculating, plotting, or learning something you might want to have a look at Wolfram Alpha.
Linear Algebra
- Yousef Saad, Iterative Methods for Sparse Linear Systems, SIAM (You can download the book for free!)
- Gilbert Strang, Introduction to Linear Algebra, Wellesley-Cambridge Press (Available in the library! Check out his video-lectures on youtube!)
- Lloyd N. Trefethen and David Bau, Numerical Linear Algebra, SIAM (Available in the library!)
Analysis
- Walter Rudin, Real and Complex Analysis, McGraw-Hill (Available in the library!)
Optimization
Probability Theory
- Heinz Bauer, Measure and Integration Theory, deGruyter (Available in the library!)
- Sheldon Ross, Introduction to probability and statistics for engineers and scientists, Elsevier (Available in the library!)