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Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00184288" target="_blank" >RIV/68407700:21230/11:00184288 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling Distributed Shape Priors by Gibbs Random Fields of Second Order

  • Original language description

    We analyse the potential of Gibbs Random Fields for shape prior modelling. We show that the expressive power of second order GRFs is already sufficient to express simple shapes and spatial relations between them simultaneously. This allows to model and recognise complex shapes as spatial compositions of simpler parts.

  • Czech name

  • Czech description

Classification

  • Type

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

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>

  • Continuities

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

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Control Systems and Computers

  • ISSN

    0130-5395

  • e-ISSN

  • Volume of the periodical

    232

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    UA - UKRAINE

  • Number of pages

    11

  • Pages from-to

    14-24

  • UT code for WoS article

  • EID of the result in the Scopus database