Course detail

Computer Vision Applications

FEKT-NAPVAcad. year: 2015/2016

Not applicable.

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.

Prerequisites

The knowledge on the level of the Bachelor's degree is required in the Application of Computer Vision course.

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

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

English

Work placements

Not applicable.

Aims

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.

Classification of course in study plans

  • Programme EEKR-MN Master's

    branch MN-KAM , 1. year of study, summer semester, 5 credits, optional specialized

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer

Laboratory exercise

26 hours, compulsory

Teacher / Lecturer