Advanced Mathematical Methods for Imaging, Vision, and Robotics - IN3200
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!
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 date: please refer to TUMonline!
- Exam duration: 90 minutes.
- Exam type: written, closed book.
- Exam inspection: tba.
- No repeat exam!
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!
| 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. |