course: Master project Pattern recognition
- teaching methods:
- responsible person:
- Prof. Dr.-Ing. Dorothea Kolossa
- Prof. Dr.-Ing. Dorothea Kolossa (ETIT)
- offered in:
- winter term
dates in winter term
- kick-off meeting: Friday the 11.10.2019 from 10:00 in ID 2/232
|Form of exam:||project|
|Registration for exam:||Directly with the lecturer|
In addition to strategies and methods for the solution of technical challenges, the students learn the organization of large projects in teams, methods of project planning, and structured software development including specification and unit testing.
In this course, students, in groups of up to 10, implement a complete, research-relevant project from the areas of pattern recognition and machine learning.
An example for a topic that can realistically be addressed within one semester is face localization and tracking in photos or video sequences.
Participation in the weekly lab hours is mandatory.
- Basic knowledge of digital signal processing
- good programming skills