186.836 Structural Pattern Recognition
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, UE, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: UE Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to implement an application of structural pattern recognition. This includes the study of the problem, the selection of the possible methods and the proof of correct functioning.

Subject of course

In this lab exercises small problems of structiral pattern recognition have to be solved: building and using a graph pyramid for image segmentation, connected component labelling, distance transform and similarity detection, similarity of graphs, mean and median of a set of graphs, tracking articulated movements.

Teaching methods

Methods are presented in the adjoint lecture.

Mode of examination

Written

Additional information

lecture: study the provided material 15h

homework:

specify problem 5h

design and/or select MATLAB code and test data 24h

experimental evaluation 15h

producing illustrative pictures 2h

report 14h

Lecturers

Institute

Examination modalities

Successful implementation and scientific report of a selected example within the domain of the lecture.

Course registration

Begin End Deregistration end
03.10.2020 00:00 02.11.2020 00:00 03.10.2020 00:00

Curricula

Study CodeSemesterPrecon.Info
066 932 Visual Computing

Literature

No lecture notes are available.

Previous knowledge

Basics of digital image processing and pattern recognition

Miscellaneous

Language

if required in English