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Face Templates Creration for Surveillance Face Recognition System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU108846" target="_blank" >RIV/00216305:26220/14:PU108846 - isvavai.cz</a>

  • Alternative codes found

    RIV/45477388:_____/14:#0000026

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    Face Templates Creration for Surveillance Face Recognition System

  • Original language description

    This paper addresses the problem of face templates creation for facial recognition system. The application of a face recognition system in real-world conditions requires compact and representative face templates in order to maintain low error rate and low classification time. Contemporary face template creation methods are not suitable for face recognition systems with large number of users as they produce many templates per person. These templates are often redundant and their high number requires longclassification time. The paper presents four approaches to face templates creation that produce one to three face templates per person. The influence of different face template creation approaches was assessed on PubFig and IFaViD database. The achievedresults show that appropriate face template creation methods have a significant influence on face recognition system performance.

  • Czech name

    Face Templates Creration for Surveillance Face Recognition System

  • Czech description

    This paper addresses the problem of face templates creation for facial recognition system. The application of a face recognition system in real-world conditions requires compact and representative face templates in order to maintain low error rate and low classification time. Contemporary face template creation methods are not suitable for face recognition systems with large number of users as they produce many templates per person. These templates are often redundant and their high number requires longclassification time. The paper presents four approaches to face templates creation that produce one to three face templates per person. The influence of different face template creation approaches was assessed on PubFig and IFaViD database. The achievedresults show that appropriate face template creation methods have a significant influence on face recognition system performance.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods

  • ISBN

    978-989-758-018-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    724-729

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Angers

  • Event date

    Mar 6, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article