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Bidirectional Texture Function Simultaneous Autoregressive Model
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SYSNO ASEP 0380289 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Bidirectional Texture Function Simultaneous Autoregressive Model Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Havlíček, Michal (UTIA-B) RIDNumber of authors 2 Source Title Computational Intelligence for Multimedia Understanding. - Berlin : Springer, 2012 - ISSN 0302-9743 - ISBN 978-3-642-32435-2 Pages s. 149-159 Number of pages 11 s. Publication form Print - P Action MUSCLE Event date 13.12.2011-15.12.2011 VEvent location Pisa Country IT - Italy Event type WRD Language eng - English Country DE - Germany Keywords bidirectional texture function ; texture analysis ; texture synthesis ; data compression ; virtual reality Subject RIV BD - Theory of Information R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA102/08/0593 GA ČR - Czech Science Foundation (CSF) GAP103/11/0335 GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 DOI https://doi.org/10.1007/978-3-642-32436-9_13 Annotation 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2013
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