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.

2019W, UE, 2.0h, 3.0EC

Properties

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

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 and oral

Additional information

lecture 15h

homework:

specify problem 5h

design and select MATLAB code and test data 24h

experimental evaluation 15h

presentation 2h

report 14h

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed15:00 - 17:0009.10.2019 - 22.01.2020 meeting room (HA0509), 5th floor (yellow area)186.836 Lab structural pattern recognition
Structural Pattern Recognition - Single appointments
DayDateTimeLocationDescription
Wed09.10.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)optional
Wed16.10.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)lecture C
Wed23.10.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)lecture E
Wed30.10.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)lecture G
Wed06.11.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)lecture H
Wed13.11.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab project discussion
Wed20.11.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab optional
Wed27.11.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab optional
Wed04.12.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab optional
Wed11.12.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab optional
Wed18.12.201915:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab optional
Wed08.01.202015:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab optional
Wed15.01.202015:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab optional
Wed22.01.202015:00 - 17:00 meeting room (HA0509), 5th floor (yellow area)186.836 Lab optional

Examination modalities

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

Course registration

Begin End Deregistration end
05.10.2019 00:00 04.11.2019 00:00 05.10.2019 00:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 932 Visual Computing Mandatory elective

Literature

No lecture notes are available.

Previous knowledge

Basics of image processing and pattern recognition

Miscellaneous

Language

if required in English