Basic Mathematical Tools for Imaging and Visualization

Administrative Information

Course with lectures and exercises for Master students (IN2124).

• Organizers:
  • Lectures: Tobias Lasser
  • Exercises: Alessandro Wollek, Erdal Pekel, Jonas Jelten, Josué Page Vizcaíno
• Sessions:
  • Lectures:
    • live-streamed sessions: Mondays, 16:15 - 17:45, via TUM Live
    • recorded videos via Moodle
  • Exercises:
    • synchronous sessions: Wednesdays, 16:15 - 17:45, via BBB
    • recorded videos via Moodle
  • Chat platform: https://zulip.in.tum.de/, stream #BMT
• Course start:
  • introductory live-streamed session: Oct. 20, 2021, 16:15 - 17:45, via TUM Live
  • first regular course week: starting Oct. 25, 2021
• Exam: four graded online homework exercises during the lecture period via TUMexam (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).