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Course detail
FIT-POVaAcad. year: 2019/2020
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
Learning outcomes of the course unit
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Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
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Aims
Specification of controlled education, way of implementation and compensation for absences
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Basic literature
Recommended reading
Classification of course in study plans
branch MBI , 0 year of study, winter semester, elective
branch MGH , 0 year of study, winter semester, recommended course
branch MSK , 0 year of study, winter semester, electivebranch MMM , 0 year of study, winter semester, electivebranch MBS , 0 year of study, winter semester, electivebranch MPV , 0 year of study, winter semester, compulsory-optionalbranch MIS , 2 year of study, winter semester, electivebranch MIN , 0 year of study, winter semester, compulsory-optionalbranch MGM , 0 year of study, winter semester, compulsory-optional
branch MGMe , 0 year of study, winter semester, compulsory-optional
specialization NVIZ , 0 year of study, winter semester, compulsoryspecialization NCPS , 0 year of study, winter semester, compulsoryspecialization NBIO , 0 year of study, winter semester, electivespecialization NSEN , 0 year of study, winter semester, electivespecialization NGRI , 0 year of study, winter semester, electivespecialization NISD , 0 year of study, winter semester, electivespecialization NSEC , 0 year of study, winter semester, electivespecialization 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 NSPE , 0 year of study, winter semester, electivespecialization NADE , 0 year of study, winter semester, electivespecialization NMAT , 0 year of study, winter semester, electivespecialization NISY , 0 year of study, winter semester, elective
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POZOR!!! Témata přednášek i data jsou orientační a budou v průběhu semestru aktualizována.
NOTE: The topics and dates are just FYI, not guaranteed, and will be continuously updated.
Project