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Probabilistic mixture-based image modelling

  1. 1.
    SYSNO ASEP0360244
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevProbabilistic mixture-based image modelling
    Tvůrce(i) Haindl, Michal (UTIA-B) RID, ORCID
    Havlíček, Vojtěch (UTIA-B) RID
    Grim, Jiří (UTIA-B) RID
    Zdroj.dok.Kybernetika. - : Ústav teorie informace a automatizace AV ČR, v. v. i. - ISSN 0023-5954
    Roč. 47, č. 3 (2011), s. 482-500
    Poč.str.19 s.
    Jazyk dok.eng - angličtina
    Země vyd.CZ - Česká republika
    Klíč. slovaBTF texture modelling ; discrete distribution mixtures ; Bernoulli mixture ; Gaussian mixture ; multi-spectral texture modelling
    Vědní obor RIVBD - Teorie informace
    CEP1M0572 GA MŠk - Ministerstvo školství, mládeže a tělovýchovy
    GA102/08/0593 GA ČR - Grantová agentura ČR
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    UT WOS000293207900011
    EID SCOPUS83455221186
    AnotaceDuring the last decade we have introduced probabilistic mixture models into image modelling area, which present highly atypical and extremely demanding applications for these models. This difficulty arises from the necessity to model tens thousands correlated data simultaneously and to reliably learn such unusually complex mixture models. Presented paper surveys these novel generative colour image models based on multivariate discrete, Gaussian or Bernoulli mixtures, respectively and demonstrates their major advantages and drawbacks on texture modelling applications. Our mixture models are restricted to represent two-dimensional visual information. Thus a measured 3D multispectral texture is spectrally factorized and corresponding multivariate mixture models are further learned from single orthogonal mono-spectral components and used to synthesise and enlarge these mono-spectral factor components.
    PracovištěÚstav teorie informace a automatizace
    KontaktMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Rok sběru2012
Počet záznamů: 1