| Course Unit Code | 354-0622/01 |
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| Number of ECTS Credits Allocated | 4 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| NOV20 | prof. Dr. Ing. Petr Novák |
| KOT19 | doc. Ing. Tomáš Kot, Ph.D. |
| VYS0016 | doc. Ing. Aleš Vysocký, Ph.D. |
| OSC0011 | Ing. Petr Oščádal, Ph.D. |
| Summary |
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The subject acqaiure students with structure and principe of visual subsystem of robot (industrial, collaborative and service). The parts of this system -HW and SW are described, including of the typical applications.
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| Learning Outcomes of the Course Unit |
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| Analyze of requirements an visual subsystem of robotised work-cell, visual subsystem design, basic image operations, their evaluation. |
| Course Contents |
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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.
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| Recommended or Required Reading |
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| Required Reading: |
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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 |
V.Hlaváč, M.Šonka:Počítačové vidění,Grada 1992 E.Sojka, Digitální zpracování a analýza obrazů, VŠB-TU Ostrava, 2000 (ISBN 80-7078-746-5).
R.M. Haralick, L.G. Shapiro, Computer and Robot Vision, Addison-Wesley, Reading, MA, 1992 (0-201-10877-1,-2,-3).
Erik Valdemar C. J. a další Intelligent active vision systems for robots. 2007, ISBN 978-3-86727-108-0
Peter Corke: Robotics, Vision and Control, Fundamental Algorithms in MATLAB, 2011 ISBN : 978-3-642-20143-1 |
| Recommended Reading: |
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| W.K. Pratt, Digital image processing (2nd ed), John Wiley and Sons, 2017 (ISBN 0-471-85766-1). |
W.K. Pratt, Digital image processing (2nd ed), John Wiley and Sons, 2017 (ISBN 0-471-85766-1).
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| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Project work |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 35 | 15 |
| Examination | Examination | 65 | 36 |