Vision Systems for Robotics

Type of study	Follow-up Master
Language of instruction	Czech
Code	354-0622/03
Abbreviation	VSpR
Course title	Vision Systems for Robotics
Credits	6
Coordinating department	Department of Robotics
Course coordinator	doc. Ing. Tomáš Kot, Ph.D.

Subject syllabus

1. Introduction, Matlab and Image Processing Toolbox.
2. Image sensors, camera interfaces.
3. basic of projective geometry.
4. basic image analysis. Hiostogram, Noise reduction.
5. Fourier transformation, image compression.
6. Image Reconstruction.
7. Edge detection, lines detection - Hough transformation.
8.-9. Neural nets.
10. Stereovision.
11. Smart cameras
12. Smart cameras - industrial application.
13. Image/objects attributes.
14. Credit.

E-learning

LMS Moodle

Literature

K.R. Castleman: Digital Image Processing, Prentice Hall 1996 (ISBN 0-13-211467-4).
L.J. Galbiati, Machine vision and digital image processing fundamentals, Prentice Hall, 1990 (0-13-542044-X).
O. Faugeras, Three-dimensional computer vision, MIT Press, 1994 (0-262-06158-9).
Jacques Blanc-Talon, David Helbert, Wilfried Philips, Dan Popescu, Paul Scheunders, Advanced Concepts for Intelligent Vision Systems: 19th International Conference, ACIVS 2018, Poitiers, France, September 24–27, 2018, Proceedings, Springer, 2018, ISBN 3030014495, 9783030014490
Peter Corke: Robotics, Vision and Control, Fundamental Algorithms in MATLAB, 2011 ISBN : 978-3-642-20143-1

Advised literature

W.K. Pratt, Digital image processing (2nd ed), John Wiley and Sons, 2017 ( ).

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