Selected Topics in Pattern Recognition and Computer Vision

Relations:

During a review of study plans, the course XEP33VKR can be substituted for the course EP33VKR.

The requirement for course EP33VKR can be fulfilled by substitution with the course XEP33VKR.

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

The course deals with fundamental results from computer vision,

pattern recognition, mathematics of uncertainty, and knowledge-based systems. Emphasis is put on analysis of images and videos, the use of semantical information, and pattern recognition. The course treats selected key classical results, as well as lastest areas of research, especially those which substantially influence the development in the subject field. Education is performed in the form of a reading group.

Requirements:

None.

Syllabus of lectures:

There are no standard lectures.

Syllabus of tutorials:

The selected topics and terms of the reading groups will be announced at http://cmp.felk.cvut.cz/cmp/courses/EP33VKR/Now/

The course lasts two semesters, appr. one reading group is organized each month.

Study Objective:

Using topics from pattern recognition and computer vision, teach students how to work with literature and present scientific results both orally and in a written form.

Study materials:

1. Richard O. Duda, Peter E. Hart, and David G. Stork. Pattern classification. Wiley Interscience Publication. John Wiley, New York, 2nd edition, 2001.

2. Michail I. Schlesinger and Vaclav Hlavac. Ten Lectures on Statistical and Structural Pattern Recognition. Kluwer Academic Publishers, Dordrecht, The Netherlands, 2002.

3. Keinosuke Fukunaga. Introduction to Statistical Pattern Recognition. Computer Science and Scientific Computing. Academic Press, San Diego, California, USA, 2nd edition, 1990.

Note:

Further information:

http://cmp.felk.cvut.cz/~toliageo/rg/course.html

No time-table has been prepared for this course

The course is a part of the following study plans: