Selected Topics in Pattern Recognition and Computer Vision

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

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

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

The course deals with fundamental results from computer vision and

pattern recognition. The course treats selected key

results, as well as latest areas of research, especially those

which substantially influence the development in the subject field.

Education is performed in the form of a reading group.

The course is mainly targeting PhD candidates, but is also available for Msc students with strong interest, possibly experience too, on a research topic that is relevant to the course.

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/~toliageo/rg/ .

The course lasts two semesters with approximately 1 or 2 reading groups per month.

Each student is expected to come prepared to reading groups, with knowledge of the presented paper, and to prepare the presentation (1-2 hours long) of a paper.

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:

Note:

Further information:

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

No time-table has been prepared for this course

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)