Course detail

Computer Vision

FIT-POVAcad. year: 2010/2011

Not applicable.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Dr. Ing. Pavel Zemčík, dr. h. c.

Department

Department of Computer Graphics and Multimedia (UPGM)

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Not applicable.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic 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

Recommended reading

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

Classification of course in study plans

  • Programme IT-MSC-2 Master's

    branch MBI , 0 year of study, winter semester, elective
    branch MBS , 0 year of study, winter semester, elective
    branch MGM , 0 year of study, winter semester, compulsory-optional
    branch MIN , 0 year of study, winter semester, compulsory-optional
    branch MIS , 2 year of study, winter semester, elective
    branch MMI , 0 year of study, winter semester, elective
    branch MMM , 0 year of study, winter semester, elective
    branch MPS , 0 year of study, winter semester, elective
    branch MPV , 2 year of study, winter semester, compulsory-optional
    branch MSK , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Dr. Ing. Pavel Zemčík, dr. h. c.

Syllabus

  1. Introduction, basic principles, pre-processing and normalization
  2. Segmentation, colour analysis, histogram analysis, clustering
  3. Texture features analysis and acquiring
  4. Clusters, statistical methods
  5. Curves, curve parametrization
  6. Geometrical shapes extraction, Hough transform, RHT
  7. Pattern recognition (statistical, structural)
  8. Classifiers (AdaBoost, neural nets...), automatic clustering
  9. Detection and parametrization of objects in images
  10. Geometrical transformations, RANSAC applications
  11. Motion analysis, object tracking
  12. 3D methods of computer vision, registration, reconstruction
  13. Conclusion, open problems of computer vision

Project

26 hod., optionally

Teacher / Lecturer

prof. Dr. Ing. Pavel Zemčík, dr. h. c.