Computer Vision Applications
FEKT-NAPVAcad. year: 2015/2016
Learning outcomes of the course unit
Graduate is be able to consider possibility of camera systems implementation in given problem in practice, manage the design, realization and settings of some simpler computer vision problems.
The knowledge on the level of the Bachelor's degree is required in the Application of Computer Vision course.
- recommended prerequisite
Recommended optional programme components
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
Teaching methods include lectures and practical laboratories. Course is taking advantage of e-learning (Midas) system. Students have to write a single project/assignment during the course.
Assesment methods and criteria linked to learning outcomes
Weekly laboratory exercises (24 pts), projects (16 pts) and a final exam (60 pts) are evaluated during the Application of Computer Vision course. For successful pass the course, obtaining of at least half of available points is required in all mentioned parts.
Language of instruction
Aim of the course is to give information to students about typical applications of computer vision in industry. All aspects of camera systems design and implementation will be discussed in detail. Student will devise, debug and verify simple assignment of computer vision in semestral project.
Specification of controlled education, way of implementation and compensation for absences
The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.