Institute of Information Theory and Automation

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Pattern Recognition Department

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266052505
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logo PRD The scope of the activities of the Department of Pattern Recognition covers statistical pattern recognition, with emphasis being put on model-based pattern recognition and the application of finite mixtures, modeling of random fields for scene interpretation, probabilistic neural networks, statistical feature selection and applications in economics, the car industry, architecture, medicine, and text-document classification and processing. In all these areas, the group members enjoy an international reputation manifested by scientific awards and memberships in the governing bodies of international organizations.

admin: 2018-05-04 08:11

Department detail

1999-12-31
President of the International Association for Pattern Recognition IAPR prof. Horst Bunke presented to prof. Pavel...
2007-05-22
MCS 2007 is the seventh workshop in a well-established series of meetings providing an international forum for the...
2002-12-31
The president of the Academy of Sciences of the Czech Republic, Prof. H. Illnerova, has presented the Bernard Bolzano...
Mgr. Petr Dostál Ph.D.
Ing. Jiří Filip Ph.D.
Ing. Jiří Grim CSc.
Prof. Ing. Michal Haindl DrSc.
Ing. Martin Hatka Ph.D.
Ing. Michal Havlíček
RNDr. Vojtěch Havlíček Ph.D.
Ing. Martina Kolafová
Jana Krejčová
Ing. Mikuláš Krupička Ph.D.
Mgr. Miloš Kudělka
Mgr. Stanislav Mikeš Ph.D.
Bc. Marek Munzar
Prof. Ing. Pavel Pudil DrSc.
Ing. Radek Richtr
RNDr. Petr Somol Ph.D.
RNDr. Pavel Vácha Ph.D.
Ing. Radomír Vávra Ph.D.
RNDr. Pavel Žid Ph.D.
Duration: 2010 - 2012
The main goal of this project is to identify relationships between human perception of real-world materials properties and corresponding computational features. We will use Bidirectional Texture Functions as state-of-the-art digital representation of illumination and view dependent real-world material appearance as an initial data for our analysis.