BTF Potts compound texture model

0443580 - ÚTIA 2016 RIV US eng C - Conference Paper (international conference)
Haindl, Michal - Remeš, Václav - Havlíček, Vojtěch
BTF Potts compound texture model.
Measuring, Modeling, and Reproducing Material Appearance 2015. Bellingham: SPIE-IS&T, 2015, 939807-1-939807-11. Proceedings of SPIE, 9398. ISBN 978-1-62841-488-2. ISSN 0277-786X.
[Electronic Imaging 2015. San Francisco (US), 08.02.2015-12.02.2015]
R&D Projects: GA ČR(CZ) GA14-10911S; GA ČR(CZ) GA14-02652S
Keywords : Texture * texture synthesis * compound Markov random field model * CAR model * Potts MRF * Voronoi mosaic
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/21015/RO/haindl-0443580.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0246781