Basic Mathematical Tools for Imaging and Visualization - IN2124

Administrative Info Lecture: Dr. Tobias Lasser Exercises: Dr. Maximilian Baust IN2124: 2+2 SWS, 5 ECTS The lecture is given in English. eLearning Contact by email Moodle course Course forum Anonymous suggestion box

Time & Location Lecture and exercise: Tuesday, 16:15 - 17:45, room MI HS 2 Thursday, 16:00 - 17:30, room MI HS 2 Attestations: Wednesday, 20/11/2013, 2:15pm-4pm, room MI 03.13.008 Wednesday, 10/12/2013, time tba, room MI 03.13.008 Wednesday, 29/01/2014, time tba, room MI 03.13.008 Monday, 10/02/2014, time tba, room MI 03.13.008 Exam: Monday, 17/02/2014, 10:30 - 12:00, MI Hörsaal 1 Duration: 90 minutes Allowed material: exclusively one handwritten DIN A4 sheet Exam inspection: Friday, 21/02/2014, 10:00 - 11:00, MI 03.13.061 Repeat exam: Tuesday, 01/04/2014, 10:30 - 12:00, room MW 0350 Duration: 90 minutes Allowed material: exclusively one handwritten DIN A4 sheet Exam inspection: Thursday, 10/04/2014, 16:00 - 17:00, MI 03.13.061

Site Content Overview Script Course Schedule Literature

Announcements The reapeat exam has been re-scheduled! Now, it takes place on Monday March 31st 2014 @ 10:30 - 12:00 (according to TUMonline). The room can be found here. The registration for the repeat exam will be possible between 03/03/14 and 17/03/14. The exam inspection will take place on Friday, February 21, 2014, from 10:00 to 11:00 in room MI 03.13.061. New version of question catalog available (cf. moodle)!

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

Course Schedule

Literature

MATLAB

• Cleve Moler, first chapter of Numerical Computing with MATLAB, SIAM (You can download the book for free!)

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

• Ake Björck, Numerical Methods for Least Squares Problems, SIAM (Available in the library!)
• Jonathan Shewchuk, An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
• Uri Ascher, A first course in numerical methods, SIAM (Available in the library!)

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!)