Basic Mathematical Tools for Imaging and Visualization - IN2124
Administrative Info
Lecture: PD Dr. Tobias Lasser
Exercises: Anca Stefanoiu, Rüdiger Göbl, Walter Simson
IN2124: 2+2 SWS, 5 ECTS
The course is held in English.
Contact
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Time & Location
Lecture and exercise:
- Monday, 16:00 - 17:30, room Interims Hörsaal 2
- Tuesday, 12:30 - 14:30, room MW 1801
Exam:
- Monday, February 12, 2018, 16:30 - 18:00 in MW 2001
- Duration: 90 minutes
- Allowed materials: none
Repeat exam:
- Tuesday, March 27, 2018, 8:00 - 9:30 in Interims Hörsaal 1
- Duration: 90 minutes
- Allowed materials: none
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Site Content
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Announcements
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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.
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!)