TeachingSs14AdvancedMathTools

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Advanced Mathematical Methods for Imaging, Vision, and Robotics - IN3200

Administrative Info

Lecture: Dr. Maximilian Baust

Exercises: David Tan
IN3200: 2+1 SWS, 4 ECTS

The lecture is given in English. For Biomedical Computing, this course is an elective module in the area Image processing, Computer Vision and Pattern Recognition!

eLearning

This course will be managed via Moodle!

Time & Location

Lecture and exercise:
  • Tuesday, 8:30 - 10:00, room see schedule
  • Thursday, 8:30 - 10:00, room see schedule

Exam:
  • Exam date: please refer to TUMonline!
  • Exam duration: 90 minutes.
  • Exam type: written, closed book.
  • Exam inspection: tba.
  • No repeat exam!

Overview

A lot of algorithms for computer vision and image processing application, such as image segmentation, image registration, or image filtering, require the numerical solution of partial differential equations (PDEs). In many cases, these PDEs are of parabolic nature, i.e., they are comparable to the standard heat diffusion equation. In this course, several standard and non-standard techniques for solving these kinds of equations are presented. After laying the theoretical foundations, several methods for discretization, such as finite difference methods and finite element methods are discussed. Moreover, a particular focus is also the stability analysis of finite difference schemes as well as non-standard topics such as Sobolev gradient methods, inverse heat diffusion, and PDEs on arbitrary surfaces. For a detailed schedule, the script, and all kinds of supplementary material please refer to the moodle course!

Course Schedule

Date Time Room Type Lecturer
Thu, 10/04/14 8:30am MI 03.13.010 L Maximilian Baust
Tue, 15/04/14 9:15am MI 03.13.010 E Maximilian Baust
Thu, 17/04/14   no lecture    
Tue, 22/04/14   no lecture    
Thu, 24/04/14 8:30am MI 03.13.010 L Maximilian Baust
Tue, 29/04/14 9:15am MI 03.13.010 E David Tan
Thu, 01/05/14   no lecture    
Tue, 06/05/14 8:30am MI 03.13.010 L David Tan
Thu, 08/05/14 8:30am MI 03.13.010 L Maximilian Baust
Tue, 13/05/14 9:15am MI 03.13.010 E Maximilian Baust
Thu, 15/05/14 8:30am MI 03.13.010 L Maximilian Baust
Tue, 20/05/14   no lecture    
Thu, 22/05/14   no lecture    
Tue, 27/05/14 8:30am MI 03.13.010 L Maximilian Baust
Thu, 29/05/14   no lecture    
Tue, 03/06/14 9:15am MI 03.13.010 E Maximilian Baust
Thu, 05/06/14 8:30am MI 03.13.010 L Maximilian Baust
Tue, 10/06/14   no lecture    
Thu, 12/06/14 8:30am MI 03.13.010 L Maximilian Baust
Tue, 17/06/14 9:15am MI 03.13.010 E Maximilian Baust
Thu, 19/06/14   no lecture    
Tue, 24/06/14 8:30am MI 03.13.010 L Maximilian Baust
Thu, 26/06/14 9:15am MI 03.13.010 E Maximilian Baust
Tue, 01/07/14 8:30am MI 03.13.010 L Maximilian Baust
Thu, 03/07/14 9:15am MI 03.13.010 E Maximilian Baust
Tue, 08/07/14   no lecture    
Thu, 10/07/14 8:30am MI 03.13.010 L Maximilian Baust




TeachingForm
Title: Advanced Mathematical Methods for Imaging, Vision, and Robotics
Professor: Dr. Maximilian Baust
Tutors: David Tan
Type: Lecture
Information: SWS 2+1 (4ECTS)
Term: 2014SoSe
Abstract: This lecture is offered within the module "Selected Topics in Computer Graphics and Vision" (IN3200). It will only be offered as a special lecture in the summer term of 2014. The main content are advanced - and sometimes non-standard - methods for computer graphics and computer vision.


Edit | Attach | Refresh | Diffs | More | Revision r1.28 - 20 Jun 2014 - 10:54 - MaximilianBaust

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif