PATTERN RECOGNITION DEPARTMENT


The Pattern Recognition department of the Institute of Information Theory and Automation of the Academy of Sciences of the Czech Republic is a basic research unit oriented mainly to pattern recognition and computer vision areas. The PR department consists of 11 staff members and 7 doctoral students. The department head is prof. Michal Haindl.

Research

M. Haindl Spatial Data Modelling
Virtual Reality
Pattern Recognition
J. Filip Texture Modelling
Image Sequence Restoration
J. Grim Probabilistic Neural Networks
Probabilistic Expert Systems
V. Havlicek Texture Synthesis
P. Pudil Statistical Pattern Recognition
Feature Selection, Classification
P. Somol Statistical Pattern Recognition
P. Zid Range Image Segmentation 
M. Bok Feature Selection
M. Hatka Texture Editing
R. Holub 3D Data Modelling
J. Hora Mixture Models
S. Mikes Texture Segmentation
P. Vacha Query by Pictorial Example

Current Projects

J. Grim   Recurrent probabilistic neural networks, 
      Grant Agency of the Czech Republic; No. 102/07/1594
M. Haindl   BTF Texture Modelling
      Grant Agency of the Czech Republic; No. 102/08/0593
ERCIM
       Grant of the Ministry of Education INGO No. LA322
P. Pudil    Multidisciplinary approaches to support of decision-making in economics and management, 
   Grant of the Ministry of Education (jointly with the Faculty of Management, University of Economics Prague);
  No. VS96063

Past Projects

since 1996

J. Grim   Probabilistic expert system with automatic knowledge base design, 
      Grant Agency of the Academy of Sciences of the Czech Republic; No. A27550
  Probabilistic neural networks, 
      Grant Agency of the Academy of Sciences of the Czech Republic; No. A2075703
M. Haindl    Data Modelling  
NCR Corporation Project; No. 242008
Automatic Acquisition of Virtual Reality Models from Real World Scenes
      Academy of Sciences of the Czech Republic, No. 1ET400750407
MUSCLE - Multimedia Understanding through Semantic Computation and Learning
                          
       European Union project FP6-507752
   ERCIM Grant of the Ministry of Education INGO No. LA147
   Real Reflect - Real Time Visualization of Complex Reflectance Behaviour in Virtual Prototyping
                           
       European Union project FP5RTD; No. IST-2001-34744
  Texture Modelling
      Grant Agency of the Czech Republic; No. 102/00/0030
  Computer Aided Quantitative Fractography of Fatigue Failures
      Grant Agency of the Czech Republic; No. 106/00/1715
   Autonomous Acquisition of Virtual Reality Models from Real World Scenes
                              
       European Union project INCO Copernicus; No. 960174
   Virtual Reality 
  Grant of the Ministry of Education; No. OK276
   Virtual Reality 
Hewlett Packard Grant; No. ISE-86L8-13
J. Novovicova    Simultaneous feature selection and classifier design in statistical pattern recognition,
     Grant Agency of the Academy of Sciences of the Czech Republic; No.A2075608
P. Pudil   Non-classical approaches to decision-making, 
       Grant Agency of the Czech Republic; No. 402/97/1242
   Comparison of statistical and evolutionary approaches to feature selection in pattern recognition, 
   Grant of the Ministry of Education AKTION; ; No. 23820
   Pattern Recognition for Information Technology Application, 
   Grant of the Ministry of Education KONTAKT; No. ME187/1998

Teaching

M. Haindl   Faculty of Electrical Engineering, 
  Czech Technical University
Pattern Recognition
J. Novovicova    Faculty of Transportation, Czech Technical University Mathematical Statistics
Probability and Mathematical Statistics 
P. Pudil    Faculty of Management, University of Economics Prague Statistics for management
Applied artificial intelligence for management 



Address:

Pattern Recognition Department
UTIA
Pod vodarenskou vezi 4
182 08 Prague 8
Czech Republic
Fax: 420-2-8468 3031
Map


Comments and suggestions to Jiri Filip
Last modified: Wen Feb 3 18:12:25 CEST 2010