354-0622/02 – Vision Systems for Robotics (VSpR)

Gurantor departmentDepartment of RoboticsCredits4
Subject guarantorprof. Dr. Ing. Petr NovákSubject version guarantorprof. Dr. Ing. Petr Novák
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageEnglish
Year of introduction2021/2022Year of cancellation
Intended for the facultiesFSIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
BAB047 Ing. Ján Babjak, Ph.D.
NOV20 prof. Dr. Ing. Petr Novák
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

Analyze of requirements an visual subsystem of robotised work-cell, visual subsystem design, basic image operations, their evaluation.

Teaching methods

Lectures
Tutorials
Project work

Summary

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.

Compulsory 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

Recommended literature:

W.K. Pratt, Digital image processing (2nd ed), John Wiley and Sons, 2017 (ISBN 0-471-85766-1).

Way of continuous check of knowledge in the course of semester

Successful project evaluation

E-learning

education with LMS Moodle

Other requirements

presence on the seminars, (presence on lectures - strongly recommended)

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

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. Camera calibration. 12. Industrial application (Industrial robots) 13. Image/objects attributes, 14. Credit

Conditions for subject completion

Full-time form (validity from: 2021/2022 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 35  15
        Examination Examination 65  36 3
Mandatory attendence participation: Attendance on seminars, labs 80% min

Show history

Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2022/2023 (N0719A270010) Robotics (S01) Designing of Robotic Workcells P English Ostrava 2 Compulsory study plan
2022/2023 (N0719A270010) Robotics (S03) Service Robotics P English Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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