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Course detail
FIT-POVaAcad. year: 2020/2021
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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Number of ECTS credits
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Department
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
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
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Basic literature
Recommended reading
Classification of course in study plans
branch MBI , any year of study, winter semester, electivebranch MPV , any year of study, winter semester, compulsory-optionalbranch MGM , any year of study, winter semester, compulsory-optional
branch MGMe , any year of study, winter semester, compulsory-optional
branch MSK , any year of study, winter semester, electivebranch MBS , any year of study, winter semester, electivebranch MIN , any year of study, winter semester, compulsory-optionalbranch MMM , any year of study, winter semester, elective
specialization NADE , any year of study, winter semester, electivespecialization NBIO , any year of study, winter semester, electivespecialization NGRI , any year of study, winter semester, electivespecialization NNET , any year of study, winter semester, electivespecialization NVIZ , any year of study, winter semester, compulsoryspecialization NCPS , any year of study, winter semester, compulsoryspecialization NSEC , any year of study, winter semester, electivespecialization NEMB , any year of study, winter semester, electivespecialization NHPC , any year of study, winter semester, electivespecialization NISD , any year of study, winter semester, electivespecialization NIDE , any year of study, winter semester, electivespecialization NISY , any year of study, winter semester, electivespecialization NMAL , any year of study, winter semester, electivespecialization NMAT , any year of study, winter semester, electivespecialization NSEN , any year of study, winter semester, electivespecialization NVER , any year of study, winter semester, electivespecialization NSPE , any year of study, winter semester, elective
branch MGH , any year of study, winter semester, recommended
branch MIS , 2. year of study, winter semester, elective
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NOTE: The topics and dates are just FYI, not guaranteed, and will be continuously updated.
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