EMARO Tutorials in Computer Vision and Signal Processing
Person responsible: Artur Wilkowski
e-mail
Consultation hours: Wendesday 12-14, room 556 Building of Electronics
Place and time: Mondays, 12.15-14.00, lab 529, Building of Electronics
Signal Processing Tutorials
Tutorial schedule:
- 2.10, 9.10, 13.10 - introductory tutorials
- 20.10 - distribution of assignment 1 subjects
- 27.10 - selection of assignment 1 subjects
- 03.11 - 17.11 - assignment 1 consultations
- 24.11 - distribution of assignment 2 subjects
- 01.12 - selection of assignment 2 subjects
- 08.12, 15.12 - assignment 1 and 2 consultations
- 22.12 - submission of assignment 1
- 05.01-19.01 - assignment 2 consultations
- 26.01 - submission of assignment 2
Singal Processing Assignment 1 proposed subjects
Singal Processing Assignment 2 proposed subjects
Requirements:
- presence at tutorials
- 22.12, 26.01 - sumbission of the working application, submission of the
short documentation containing analysis of the subject, solutions adopted, the results
of tests, conclusions originating from the implementation and technical data
Preferred implementation environments: Matlab, C++, Java. Libraries: Marf
Computer Vision tutorials
Tutorial schedule:
- 2.10, 9.10, 13.10 - introductory tutorials
- 20.10 - distribution of assignment subjects
- 27.10 - selection of assignment subjects
- 03.11 - 24.11 - assignment consultations
- 01.12 - verification of project's assumptions
- 08.12 - 12.01 - assignment consultations
- 19.01 - submission of the assignment
- 26.01 - summarizing of the assigment results
Computer Vision Assignment proposed subjects
Requirements:
- presence at tutorials
- 01.12 - submission of the initial documentation contatining
analysis of the subject, solutions chosen to adopt and expected implementation
environment
- 19.01 - submission of the working application, submission of the
final documentation containing, in addition to the previously prepared, the results
of tests, conclusions originating from the implementation phase and technical data
Preferred implementation environments: Matlab, C++, Java. Libraries: OpenCV
Other helpful stuff
EMARO.tar.gz
Tutorial 1
OpenCV Windows Example