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BTF Potts compound texture model
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SYSNO ASEP 0443580 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title BTF Potts compound texture model Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Remeš, Václav (UTIA-B) RID
Havlíček, Vojtěch (UTIA-B) RIDNumber of authors 3 Source Title Measuring, Modeling, and Reproducing Material Appearance 2015. - Bellingham : SPIE-IS&T, 2015 - ISSN 0277-786X - ISBN 978-1-62841-488-2 Pages 939807-1-939807-11 Number of pages 11 s. Publication form Print - P Action Electronic Imaging 2015 Event date 08.02.2015-12.02.2015 VEvent location San Francisco Country US - United States Event type WRD Language eng - English Country US - United States Keywords Texture ; texture synthesis ; compound Markov random field model ; CAR model ; Potts MRF ; Voronoi mosaic Subject RIV BD - Theory of Information R&D Projects GA14-10911S GA ČR - Czech Science Foundation (CSF) GA14-02652S GA ČR - Czech Science Foundation (CSF) UT WOS 000354102200005 EID SCOPUS 84928473655 DOI 10.1117/12.2077481 Annotation This paper introduces a method for modeling mosaic-like textures using a multispectral parametric Bidirectional Texture Function (BTF) compound Markov random field model (CMRF). The primary purpose of our synthetic texture pproach is to reproduce, compress, and enlarge a given measured texture image so that ideally both natural and synthetic texture will be visually indiscernible, but the model can be easily applied for BFT material editing. The CMRF model consist of several sub-models each having different characteristics along with an underlying structure model which controls transitions between these sub models. The proposed model uses the Potts random field for distributing local texture models in the form of analytically solvable wide-sense BTF Markovian representation for single regions among the fields of a mosaic approximated by the Voronoi diagram. The control field of the BTF-CMRF is generated by the Potts random field model build on top of the adjacency graph of a measured mosaic. The compound random field synthesis combines the modified fast Swendsen-Wang Markov Chain Monte Carlo sampling of the hierarchical Potts MRF part with the fast and analytical synthesis of single regional BTF MRFs. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2016
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