Master Meetings

16.05.2023

Computer Vision & Pattern Recognition

The course covers the following topics: image formation (from both a photometric and geometric perspective), low-level imaging methods (filtering and edge detection), single and multi-view geometry for 3D reconstruction, feature extraction for object recognition. Lectures are accompanied by various examples of applications where these methods apply, and hands-on programming exercise to solve real-world problems.

Image and Video Processing

The course will expose students to all stages of the image and video processing pipeline. Starting from acquisition, the students will learn how images are captured and represented. They will learn about sampling theory, different image and video formats, and the basics of color theory. Next, the students will be introduced to various image and intensity transformations as well as filtering. The course will discuss Fourier transform and concepts such as convolution, high- and low-pass filter in both primary and frequency domains. The above topics will build the foundation for more advanced topics in image and video processing, such as restoration and enhancement. To this end, the course will also discuss different image decomposition techniques such as Gaussian, Laplacian pyramids, wavelet transform, and more advanced filtering strategies such as cross-bilateral filtering. Final lectures will introduce students to the most recent developments in image and video processing, which involve machine learning techniques. The students will learn about basic techniques which exploit neural networks in the context of image and video processing.

Information Security

The class exposes students to the fundamental concepts of cryptography, network security, and computer security. The growing importance of networks and distributed systems, and their use to support safety-critical applications, has made information security a central issue for systems today. The class centers on two main parts: security foundations (which includes security terminology, core cryptographic principles, and secure protocols) and applied security (which discusses network security, computer security, software security, and web security). Students learn to critically assess the security properties of a system and make informed decisions about implementing secure processes. Many classes feature in-class labs where students are asked to implement a cryptographic primitive, a secure protocol, or attack a vulnerable system.

Quantum Computing

Followed by an introduction to the basic principles of quantum physics, such as superposition, interference, or entanglement, a variety of subjects are treated.