Počet záznamů: 1  

Bidirectional Texture Function Simultaneous Autoregressive Model

  1. 1.
    0380289 - ÚTIA 2013 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
    Haindl, Michal - Havlíček, Michal
    Bidirectional Texture Function Simultaneous Autoregressive Model.
    Computational Intelligence for Multimedia Understanding. Berlin: Springer, 2012, s. 149-159. Lecture Notes in Computer Science, 7252. ISBN 978-3-642-32435-2. ISSN 0302-9743.
    [MUSCLE. Pisa (IT), 13.12.2011-15.12.2011]
    Grant CEP: GA MŠMT 1M0572; GA ČR GA102/08/0593; GA ČR GAP103/11/0335
    Grant ostatní: CESNET(CZ) 387/2010
    Institucionální podpora: RVO:67985556
    Klíčová slova: bidirectional texture function * texture analysis * texture synthesis * data compression * virtual reality
    Kód oboru RIV: BD - Teorie informace
    http://library.utia.cas.cz/separaty/2012/RO/haindl-bidirectional texture function simultaneous autoregressive model.pdf

    The Bidirectional Texture Function (BTF) is the recent most advanced representation of visual properties of surface materials. It specifies their altering appearance due to varying illumination and viewing conditions. Corresponding huge BTF measurements require a mathematical representation allowing simultaneously extremal compression as well as high visual fidelity. We present a novel Markovian BTF model based on a set of underlying simultaneous autoregressive models (SAR). This complex but efficient BTF-SAR model combines several multispectral band limited spatial factors and range map sub-models to produce the required BTF texture space. The BTF-SAR model enables very high BTF space compression ratio, texture enlargement, and reconstruction of missing unmeasured parts of the BTF space.
    Trvalý link: http://hdl.handle.net/11104/0211031

     
     
Počet záznamů: 1  

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