Basic Mathematical Methods for Imaging and Visualization

What it is about

You learn fundamental mathematical methods that are applied in imaging and visualization, and you can subsequently use them to formulate, analyze and solve concrete problems. Topics include, among others, linear algebra, analysis, optimization and probability theory and their applications in image processing and computer vision. In the end you will be able to select appropriate methods, optimize them and transfer them to related engineering disciplines.

What you will be able to do

• Master fundamental techniques of linear algebra
• Understand essential concepts of multivariate analysis
• Be able to apply fundamentals of optimization
• Know basic concepts of probability theory and estimation methods
• Mathematical formulation and analysis of applications in imaging and computer vision
• Select, optimize and evaluate problem-solving methods

What the module consists of

• VorlesungConveying the contents through lectures, slides and board work
• ÜbungWorking on and discussing problem sets; implementation and application for deeper understanding

Teaching method

• Vortrag / Folien / TafelanschriebIntroduction and explanation of mathematical methods
• Übungsblätter und ÜbungsveranstaltungDeepening, practical application and discussion of solutions