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Pattern Recognition Department

Head
Prof. Ing. Michal Haindl, DrSc.
Deputy head
Ing. Jiří Grim, CSc.
Secretary
Jana Krejčová
Phone
266052505
Web
link
Publications ÚTIA
list

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.

Submitted by admin on
Mgr. Petr Dostál Ph.D.
Ing. Jiří Filip Ph.D.
Ing. Jiří Grim CSc.
Prof. Ing. Michal Haindl DrSc.
Ing. Michal Havlíček Ph.D.
RNDr. Vojtěch Havlíček Ph.D.
Ing. Oleksandr Korotetskyi
Jana Krejčová
Ing. Mikuláš Krupička Ph.D.
RNDr. Stanislav Mikeš Ph.D.
Ing. Radek Richtr Ph.D.
Ing. Nahidbanu Shaikh
RNDr. Petr Somol Ph.D.
Vítek Sýkora
RNDr. Pavel Vácha Ph.D.
Ing. Radomír Vávra Ph.D.
Veronika Vilímovská
Martin Vítek
Martin Vítek
RNDr. Pavel Žid Ph.D.

Vítek Sýkora získal první místo na studentské konferenci Otevřená věda

Vítek Sýkora, stážista našeho ústavu, získal první místo na studentské konferenci Otevřená věda v oblasti věd o neživé přírodě. Vítek abosolvoval stáž Počítačové vnímání vzhledu materiálů pod vedením Jiřího Filipa z oddělení Rozpoznávání obrazů.

Prize of Antonín Svoboda was awared to Pavel Vácha

Czech society for cybernetics and informatics awarded Prize of Antonín Svoboda for the best PhD thesis in 2011 to

RNDr. Pavel Vácha, Ph.D.

from Institute of Information Theory and Automation.

Award of the Academy of Sciences of the Czech Republic for prof. Michal Haindl et al.

The Award of the Academy of Sciences of the Czech Republic for outstanding results of major scientific importance in 2011 was received by a team of authors from the Institute of Information Theory and Automation. The team led by prof. Ing. Michal Haindl, DrSc. consisting of: Ing. J. Filip, Ph.D, Ing. J. Grim, CSc., RNDr. Vojtech Havlicek, Ph.D, and Ing. M. Hatka was awarded for the scientific outcome: Mathematical modeling of visual properties of surface materials.

Prémii Otto Wichterleho 2010 získal Jiří Filip

Akademická rada Akademie věd ČR, na základě návrhu poroty pro udělování Prémií Otto Wichterleho mladým vědeckým pracovníkům v AV ČR, udělila Prémii Otto Wichterleho v roce 2010

Ing. Jiřímu Filipovi, Ph.D.

z Ústavu teorie informace a automatizace.

Featured article in November issue of IEEE TPAMI

The IEEE TPAMI selected the article:

Filip J., Haindl M.:Bidirectional Texture Function Modeling: A State of the Art Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 11, pp. 1921-1940, Oct. 2009

as a featured article of the November issue.

IAPR Fellow Award 2004 to Michal Haindl

President of the International Association for Pattern Recognition IAPR prof. Rangachar Kasturi presents at Cambridge to Dr. Michal Haindl the IAPR Fellow award for contributions to the theory and practice of model-based pattern recognition.

The IAPR Fellow award is conferred on persons to acknowledge their distinguished contributions to the field of pattern recognition and to IAPR activities.

Bernard Bolzano 2003 medal to Rudolf Hanka

The president of the Academy of Sciences of the Czech Republic, Prof. H. Illnerova, has presented the Bernard Bolzano 2003 Medal to Prof. Rudolf Hanka for contributions in the mathematical sciences. The Bernard Bolzano Honorary? Medal for Merits in the Mathematical Sciences is awarded by the Academy of Sciences of the Czech Republic to distinguished scientists who have considerably contributed to the development of the whole field and who have fruitfully collaborated with researchers in the Czech Republic.

IAPR Fellow Award 2000 to Pavel Pudil

President of the International Association for Pattern Recognition IAPR prof. Horst Bunke presented to prof. Pavel Pudil the IAPR Fellow award for contributions to statistical pattern recognition.

The IAPR Fellow award is conferred on persons to acknowledge their distinguished contributions to the field of pattern recognition and to IAPR activities.

Vítek Sýkora získal první místo na studentské konferenci Otevřená věda

Vítek Sýkora, stážista našeho ústavu, získal první místo na studentské konferenci Otevřená věda v oblasti věd o neživé přírodě. Vítek abosolvoval stáž Počítačové vnímání vzhledu materiálů pod vedením Jiřího Filipa z oddělení Rozpoznávání obrazů.

Visual Fingerprint of Material Appearance

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Ing. Jiří Filip, Ph.D.
Real-world comprises thousands of materials having different surface
appearances. These appearances are a key in our everyday judgements of
material properties, which are based on our…

Surface material recognition under variable optical observation conditions

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Prof. Ing. Michal Haindl, DrSc.

Perceptually Optimized Measurement of Material Appearance

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Ing. Jiří Filip, Ph.D.

Advanced measurement of material appearance

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Ing. Jiří Filip, Ph.D.

Mathematical modeling of surface material appearance

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Prof. Ing. Michal Haindl, DrSc.

Vizualizace objemných multispektrálních obrazových měření

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Prof. Ing. Michal Haindl, DrSc.

Accurate material appearance measurement and representation

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Ing. Jiří Filip, Ph.D.

ERCIM - European Research Consortium for Informatics and Mathematics

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Prof. Ing. Michal Haindl, DrSc.

PASIMA - Perceptual Analysis and Simulation of Real-World Materials Appearance

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Ing. Jiří Filip, Ph.D.

Systém pro měření a přenos objemných multispektrálních obrazových dat

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Prof. Ing. Michal Haindl, DrSc.

Aplikace vysokorychlostní sítě pro přenos objemných obrazových dat

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Prof. Ing. Michal Haindl, DrSc.

BTF Texture Modelling

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Prof. Ing. Michal Haindl, DrSc.

Data Modelling

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Prof. Ing. Michal Haindl, DrSc.

Recurrent probabilistic neural networks

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Ing. Jiří Grim, CSc.

ERCIM-European Research Consortium for Informatics and Mathematics

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Prof. Ing. Michal Haindl, DrSc.

Automatic Acquisition of Virtual Reality Models from Real World Scenes

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Prof. Ing. Michal Haindl, DrSc.

MUSCLE - Multimedia Understanding through Semantic Computation and Learning

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Prof. Ing. Michal Haindl, DrSc.

Real Reflect - Real Time Visualization of Complex Reflectance Behaviour in Virtual Prototyping

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Prof. Ing. Michal Haindl, DrSc.

ERCIM-European Research Consortium for Informatics and Mathematics

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Prof. Ing. Michal Haindl, DrSc.

Texture modelling

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Prof. Ing. Michal Haindl, DrSc.
Ing. Oleksandr Korotetskyi
Ing. Nahidbanu Shaikh

Pattern Recognition

Fakulta informačních technologií ČVUT

Pokročilé rozpoznávání obrazu

Fakulta informačních technologií ČVUT

Rozpoznávání

Fakulta informačních technologií ČVUT

Teorie pravděpodobnosti 1

Matematicko-fyzikální fakulta UK

Workshop on Perception of Material Appearance

The department of Pattern Recognition organizes 3nd Workshop on Perception of Material Appearance.

The workshop will be held at UTIA, in room 3, on Monday, October 21th, 2024, starting at 9:30.

 

Program:

09:30-09:40 – Welcome & introduction

SESSION 1  _______________________________________________________________

Workshop on Perception of Material Appearance

The department of Pattern Recognition organizes 2nd Workshop on Perception of Material Appearance.

The workshop will be held at UTIA, in room 3, on Monday, November 6th, 2023, starting at 9:30.

 

Program:

 

09:00-09:10 – Welcome & introduction
 

Workshop on Perception of Material Appearance 2022

The department of Pattern Recognition organizes half-day Workshop on Perception of Material Appearance.

The workshop will be held at UTIA, in room 473, on Tuesday, June 14, 2022, starting at 9:00.

Program:

7th International Workshop on Multiple Clasifier Systems

MCS 2007 is the seventh workshop in a well-established series of meetings providing an international forum for the discussion of issues in multiple classifier system design. The aim of the workshop is to bring together researchers from diverse communities dealing with this topic, including neural network, pattern recognition, machine learning and statistics. MCS 2007 will focus in particular on the application of multiple classifier systems in biometrics.