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Automatic face recognition system based on the SIFT features

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43926858" target="_blank" >RIV/49777513:23520/15:43926858 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.compeleceng.2015.01.014" target="_blank" >http://dx.doi.org/10.1016/j.compeleceng.2015.01.014</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.compeleceng.2015.01.014" target="_blank" >10.1016/j.compeleceng.2015.01.014</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic face recognition system based on the SIFT features

  • Original language description

    The paper introduces an experimental fully automatic face recognition system which will be used to annotate photographs during insertion into the database. It processes photos of a great number of different individuals photographed in a totally uncontrolled environment. It uses our previously proposed SIFT based Kepenekci approach for face recognition. There is also proposed a new corpus creation algorithm. We show that this algorithm is beneficial in the preprocessing step of our system in order to create good quality face models. We further compare the performance of our SIFT based Kepenekci approach with the original Kepenekci method on the created corpus and our approach significantly outperforms the original one. The last contribution is proposition of two novel supervised confidence measure methods based on the posterior class probability and a multi-layer perceptron. We experimentally show that the proposed confidence measures are very efficient and thus suitable for our system.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computers &amp; Electrical Engineering

  • ISSN

    0045-7906

  • e-ISSN

  • Volume of the periodical

    46

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    17

  • Pages from-to

    256-272

  • UT code for WoS article

    000367122800021

  • EID of the result in the Scopus database