26 hod., optionally

1. Implementation of computer vision in technical practice – introduction, motivation, advantages and drawbacks, typical problems of camera systems applications, methodology of order process
2. Basic physical principles used in computer vision
3. Particularity of hardware for image acquisition and processing
4. Measuring in plain – precise measuring of dimensions, position and orientation
5. Detection of product presence and completeness, counting of objects in image, classification according to shape, colour, surface attributes etc.
6. Defectoscopy, inspection systems – detection of product surface defects, inspection of transparent materials etc.
7. OCR – licence plates, character reading, conversion of printed book to electronic
8. Measuring of 3D dimensions, volume metering, 3D digital models
9. Area navigation, robot positioning – 3D, trajectory monitoring
10. Motion – motion detection, moving objects detection, trajectory monitoring, 3D attributes of objects. Traffic problems – velocity measuring, red-light crossing vehicles detection, critical states detection
11. Biological images analysis, biometric data measuring
12. Other applications – contactless temperature metering (thermocamera), deformation metering (interferometer), astral sky image analysis
13. Computer vision together with computer graphics