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Lecturer(s)
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Hlaváč Miroslav, Ing. Ph.D.
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Hrúz Marek, Ing. Ph.D.
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Gruber Ivan, Ing. Ph.D.
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Course content
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Definition of the computer vision task. Advanced methods of representation of image information. Advanced methods of image pre-processing - point brightness transformations, geometric transformations, noise filtration, greadient operators, frequency analysis. Morphologic tranformations. Advanced methods of segmentation. Advanced methods of description of objects - description based on region boundaries, description based on shape of regions. Advanced methods of classification. Advanced methods of motion analysis. Advanced methods of 3D imaging. Applications of computer vision methods in photography, industry, human-computer communication, and medicine.
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Learning activities and teaching methods
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Lecture, Practicum
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| prerequisite |
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| Knowledge |
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| Analysis and interpretation of informations, algorithmization and implementation of tasks, assessment of achieved results. |
| learning outcomes |
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| Ability to analyze, research, and generalize presented principles, describe problem domain, compile algorithmization |
| teaching methods |
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| Lecture |
| Practicum |
| assessment methods |
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| Oral exam |
| Skills demonstration during practicum |
| Project |
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Recommended literature
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Šonka, Milan; Hlaváč, Václav. Počítačové vidění. Praha : Grada, 1992. ISBN 80-85424-67-3.
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