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FIT-POVaAcad. year: 2023/2024
Principles and methods of computer vision, methods and principles of image acquiring, preprocessing methods (statistical processing), filtering, pattern recognition, integral transformations - Fourier transform, image morphology, classification problems, automatic classification, D methods of computer vision, open problems of computer vision.
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Offered to foreign students
Entry knowledge
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Elearning
Classification of course in study plans
branch MGMe , 0 year of study, winter semester, compulsory-optional
branch MPV , 0 year of study, winter semester, compulsory-optionalbranch MIN , 0 year of study, winter semester, compulsory-optionalbranch MGM , 0 year of study, winter semester, compulsory-optionalbranch MBS , 0 year of study, winter semester, electivebranch MIS , 2 year of study, winter semester, electivebranch MBI , 0 year of study, winter semester, electivebranch MSK , 0 year of study, winter semester, electivebranch MMM , 0 year of study, winter semester, elective
specialization NSPE , 0 year of study, winter semester, electivespecialization NBIO , 0 year of study, winter semester, electivespecialization NSEN , 0 year of study, winter semester, electivespecialization NVIZ , 0 year of study, winter semester, compulsoryspecialization NGRI , 0 year of study, winter semester, electivespecialization NADE , 0 year of study, winter semester, electivespecialization NISD , 0 year of study, winter semester, electivespecialization NMAT , 0 year of study, winter semester, electivespecialization NSEC , 0 year of study, winter semester, electivespecialization NISY up to 2020/21 , 0 year of study, winter semester, electivespecialization NCPS , 0 year of study, winter semester, compulsoryspecialization NHPC , 0 year of study, winter semester, electivespecialization NNET , 0 year of study, winter semester, electivespecialization NMAL , 0 year of study, winter semester, electivespecialization NVER , 0 year of study, winter semester, electivespecialization NIDE , 0 year of study, winter semester, electivespecialization NEMB , 0 year of study, winter semester, electivespecialization NISY , 0 year of study, winter semester, electivespecialization NEMB up to 2021/22 , 0 year of study, winter semester, elective
specialization MGH , 0 year of study, winter semester, recommended course
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NOTE: The topics and dates are just FYI, not guaranteed, and will be continuously updated.
POZOR!!! Témata přednášek i data jsou orientační a budou v průběhu semestru aktualizována.
Project