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, Manuel Nickel, Walter Simson
• Contact: by email (please address all requests to this address only)
• Sessions:
  • Lectures: Mondays, 16:15 - 17:45, Interims Hörsaal 2 (102)
  • Exercises: Wednesdays, 15:45 - 17:15, MW 1801
• First session: Oct. 16, 2019 (introductory lecture)
• Exams:
  • Regular: Feb. 19, 2020 at 11:00, MI HS 1 and Interims Hörsaal 1 (101) (written, 75 minutes)
  • Repeat: Apr. 7, 2020 at 15:30, MW 0001 (written, 75 minutes)
• Course language: English

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 are available in the TUM Moodle course (access restricted to course participants, registration via TUMonline).