Number of the records: 1  

Near-Regular Texture Synthesis

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    SYSNO ASEP0328988
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleNear-Regular Texture Synthesis
    TitleSyntéza téměř pravidelných textur
    Author(s) Haindl, Michal (UTIA-B) RID, ORCID
    Hatka, Martin (UTIA-B) RID
    Source TitleComputer Analysis of Images and Patterns. - Heidelberg : Springer, 2009 / X. Jiang, N.Petkov - ISSN 0302-9743 - ISBN 978-3-642-03766-5
    Pagess. 1138-1145
    Number of pages8 s.
    Publication formwww - www
    Action13th International Conference on Computer Analysis of Images and Patterns
    Event date02.09.2009-04.09.2009
    VEvent locationMuenster
    CountryDE - Germany
    Event typeWRD
    Languageeng - English
    CountryDE - Germany
    Keywordstexture modelling ; near-regular texture
    Subject RIVBD - Theory of Information
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    GA102/08/0593 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationThis paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textures cannot be successfully modelled using neither simple tiling nor using purely stochastic models. However these textures are often required for realistic appearance visualisation of many man-made environments and for some natural scenes as well. The principle of our near-regular texture synthesis and editing method is to automatically recognise and separate periodic and random components of the corresponding texture. Each of these components is subsequently modelled using its optimal method. The regular texture part is modelled using our roller method, while the random part is synthesised from its estimated exceptionally efficient Markov random field based representation.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2010
Number of the records: 1  

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