Title:Selected Topics in Pattern Recognition and Computer Vision
Extent:0+3, examination, 4 credits
Semester:  Winter (formally, but the course continues in the summer semester, we work all the year).
Teachers: Mirko Navara, Giorgos Tolias


The course deals with fundamental results in 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 latest fields of research. It is aimed at a detailed study of some principles and procedures which substantially influence the development in this branch. Education is performed in the form of a reading group. Each time, a person is in charge of presenting a paper and the reading group participants join in with questions, comments and discussion about the paper. At the end, feedback is provided to the speaker about the presentation.


Reading groups are organized irregularly, several times a year. The reserved time slots are those for CMP seminars, on Tuesday or Thursday 10:00-12:30. Each reading group is announced separately.
Venue: G205, building G, Karlovo nam. 13, CTU Prague.

Reading group instructions

Selecting a paper

The paper should be well written, easily readable, self-contained, significant, addressing wider audience, not too long, correct. Students should select a paper from the approved ones or suggest their own. The suggestion should be consulted with the supervisor and has to be approved by the guarantors. Only papers fulfilling the above criteria can be accepted.

Reading group participants

It is assumed that everyone attending the reading group has read the paper – not necessarily understanding everything, but at least knowing which parts they do not understand. Preferably, send questions about the unclear parts to the speaker at least one day in advance.

Preparation of the presenter