Course detail
Computer Vision Applications
FEKT-NAPVAcad. year: 2019/2020
Not applicable.
Supervisor
Learning outcomes of the course unit
Not applicable.
Prerequisites
Not applicable.
Co-requisites
Not applicable.
Recommended optional programme components
Not applicable.
Recommended or required reading
Sonka M., Hlavac V., Boyle R.: Image Processing, Analysis and Machine Vision. Thomson 2008. ISBN 978-0-495-08252-1. (EN)
Jahne B., Hausecker H., Geisler P.: Handbook of Computer Vision and Applications. Academic press 1999. ISBN 0-12-379770-5. (EN)
Planned learning activities and teaching methods
Not applicable.
Assesment methods and criteria linked to learning outcomes
Not applicable.
Language of instruction
English
Work placements
Not applicable.
Course curriculum
1. Special application in computer vision.
2. Cluster-based segmentation.
3. Local features and correspondences.
4. Region detector.
5. Region descriptors.
6. Global and combined descriptors.
7. Image understanding.
8. Distance and risk minimization classification.
9. Dynamic images.
10. Multiimage reconstruction.
11. Learning in recognition.
12. Selected passages of recognition.
Aims
Not applicable.
Type of course unit
eLearning
eLearning: currently opened course