Basic Mathematical Tools for Imaging and Visualization - IN2124
Administrative Info
Lecture: Dr. Tobias Lasser
Exercises: Nicola Rieke, Anca Stefanoiu
IN2124: 2+2 SWS, 5 ECTS
The lecture is given in English.
Contact
|
Time & Location
Lecture and exercise:
- Wednesday, 12:05 - 13:35, room MI HS 2
- Thursday, 16:00 - 18:00, room MI HS 2
Exam:
- Wednesday, March 1, 2017, 13:30 - 15:00, Interims Hörsaal 1 and 2
- Duration: 90 minutes
- Allowed material: none
- Exam inspection: Wednesday, April 5, 2017, 14:00 in MI 03.13.010 (registration by email required until April 3, 2017, 11:59!)
Repeat exam:
- Wednesday, April 19, 2017, 10:30 - 12:00, MI Hörsaal 1
- Duration: 90 minutes
- Allowed material: none
- Exam inspection: Wednesday, May 17, 2017, 09:30 in MI 03.13.008
|
Site Content
|
Announcements
- The list of people receiving the grade bonus is available: bonus.pdf. Please check if this sounds correct to you, and contact us if not (updated: Feb. 1, 2017).
|
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!)