FACE RECOGNITION BY MEANS OF NEW ALGORITHMS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F11%3APU94851" target="_blank" >RIV/00216305:26210/11:PU94851 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
FACE RECOGNITION BY MEANS OF NEW ALGORITHMS
Original language description
This contribution describes new methods of face recognition. The methods Principal Component Analysis (PCA) and Evolutionary Principal Component Analysis (EPCA) with genetic algorithm (GA) are described and implemented. The Radial Basis Function (RBF) neural network is used in the way of classifier and genetic algorithm is used for RBF neural network training in one case and for selecting eigenvectors from PCA method in other case. Evolutionary PCA with genetic algorithm outperform other methods testedin this project on the testing database
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mendel 2011
ISBN
978-80-214-4302-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
324-329
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Brno University of Technology
Event date
Jun 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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