Course details
Computer Vision
Guarantor
Language of instruction
Czech
Completion
Examination
Time span
- 26 hrs lectures
- 26 hrs projects
Department
Study literature
- Žára, J., kol.: Počítačová grafika-principy a algoritmy, Grada, 1992, ISBN 80-85623-00-5
- Forsyth, D. A., Ponce, J.: Computer Vision A Modern Approach, Prentice Hall, New Jersey, USA, 2003, ISBN 0-13-085198-1
Fundamental literature
- Horn, B.K.P.: Robot Vision, McGraw-Hill, 1988, ISBN 0-07-030349-5
- Hlaváč, V., Šonka, M.: Počítačové vidění, Grada, 1993, ISBN 80-85424-67-3
- Russ, J.C.: The IMAGE PROCESSING Handbook, CRC Press, 1995, ISBN 0-8493-2532-3
- Bass, M.: Handbook of Optics, McGraw-Hill, New York, USA, 1995, ISBN 0-07-047740-X
Syllabus of lectures
- Introduction, basic principles, pre-processing and normalization
- Segmentation, colour analysis, histogram analysis, clustering
- Texture features analysis and acquiring
- Clusters, statistical methods
- Curves, curve parametrization
- Geometrical shapes extraction, Hough transform, RHT
- Pattern recognition (statistical, structural)
- Classifiers (AdaBoost, neural nets...), automatic clustering
- Detection and parametrization of objects in images
- Geometrical transformations, RANSAC applications
- Motion analysis, object tracking
- 3D methods of computer vision, registration, reconstruction
- Conclusion, open problems of computer vision
Course inclusion in study plans