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Neural Network Based Complex Visual Information Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F14%3AA1501BQ1" target="_blank" >RIV/61988987:17310/14:A1501BQ1 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Neural Network Based Complex Visual Information Processing

  • Original language description

    This paper focuses on the issue of detecting and recognizing faces. The work is divided into three main categories. The first part is about detection of faces in constrained conditions. The second part focuses on creation of a different recognition approach. The third one is about the test with robotic devices. However mobile devices (such as robots, small CCD cameras or cheaper cell phones) have many limitations i.e. images quality or very limited computing performance. With respect to limitations thesystem manages two substantial parts. The first one is responsible for detecting a face in an image. The second one is responsible for calculating the information featured in a face image and recognition of that information. The system is able to processfaces in real-time with minimal computation performance and to use minimal space for storing its data. The proposed system was tested on a face database. We have used a FDDB benchmark for an exact comparison.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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 International Workshop on Artificial Neural Networks and Intelligent Information Processing

  • ISBN

    978-989-758-041-3

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    53-60

  • Publisher name

    SCITEPRESS

  • Place of publication

  • Event location

    Vienna, Austria

  • Event date

    Sep 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article