Maschinelles Lernen für Computersehen

What it is about

You will learn fundamental machine learning methods that are frequently used in computer vision (e.g., object classification, segmentation, denoising, camera calibration). In the end you will be able to explain the mathematical formulation of central procedures, create simple implementations, and apply them to concrete datasets from the field of computer vision.

What you will be able to do

• Master the fundamentals of important ML methods in the context of computer vision
• Provide mathematical derivations and formulations of different methods
• Select and classify suitable methods for concrete tasks in computer vision
• Develop and apply simple implementations of the methods studied

What the module consists of

• VorlesungConveying the methods and deriving important mathematical formulations
• ÜbungWorking on practical and theoretical tasks; programming tasks for practical experience

Teaching method

• FolienpräsentationIntroduction and structuring of the topics
• TafelanschriebDerivation of important mathematical formulations
• Übungsaufgaben (auch zur Heimarbeit)Practical deepening and implementation of the methods