Modules

Prerequisites

Contents

In the lectures theory and methods are presented. The material is illustrated in the tutorial at hand of typical problems in the field. In a study project the students deepen their knowledge about given techniques. Main topics are: • Mathematical description of images and basic as well as advanced image filtering operations • Algorithms and theory for selected image transformations, e.g. Fourier transform and morphological filters • Introduction into a selection of important computer vision tasks and methods, e.g. in optical flow, object detection, object tracking, segmentation

Learning outcomes

After successfully completing the module, students are acquainted with basic and advanced techniques and mathematical models for processing digital image data and dealing with various computer vision tasks.

Assessment

Prerequisite: • Successful completion of study project tasks Final module examination: • Written examination, 90 min.

Remarks

• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Knowledge Acquisition, Representation, and Processing“ • Study programme Mathematical Data Science M.Sc.: Compulsory elective module in complex „Fundamentals of Data Science“