Basic Mathematical Tools for Imaging and Visualization
Administrative Information
Course with lectures and exercises for Master students (IN2124).
- Organizers:
- Lectures: Tobias Lasser
- Exercises: Anca Stefanoiu, Erdal Pekel, Josué Page Vizcaíno, Theodor Cheslerean-Boghiu
- Sessions:
- Lectures: recorded videos via Moodle
- Exercises: recorded videos via Moodle
- Q&A sessions: Mondays, 16:00 - 17:30, live via BBB
- Chat platform: https://zulip.in.tum.de/, stream #BMT
- First Q&A session: Nov. 2, 2020
- Exam: four graded online homework exercises during the lecture period (due to pandemic situation)
- Course language: English
- Course format: online only (due to pandemic situation)
Course overview
For the development and application of many image processing techniques and computer vision algorithms, a deep mathematical understanding is of fundamental importance. This course aims to provide interested students with a solid mathematical basis for imaging and visualization applications.
Basic and most commonly applied techniques will be presented in the lectures and demonstrated in example applications from Image Processing and Computer Vision. The same mathematical methods are also applied in other engineering disciplines such as artificial intelligence, machine learning, computer graphics, robotics etc. The course is covering topics ranging from linear algebra, analysis, and optimization to probability theory.
Course materials
All course materials will be available via Moodle (access restricted to course participants, registration via TUMonline).