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Two Compound Random Field Texture Models
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SYSNO ASEP 0471592 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Two Compound Random Field Texture Models Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Havlíček, Vojtěch (UTIA-B) RIDNumber of authors 2 Source Title Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016. - Cham : Springer International Publishing, 2017 / Beltran-Castanon C. ; Nystrom I. ; Famili F. - ISBN 978-3-319-52276-0 Pages s. 44-51 Number of pages 8 s. Publication form Print - P Action CIARP 2016 - 21st Iberoamerican Congress 2016 Event date 08.11.2016 - 11.11.2016 VEvent location Lima Country PE - Peru Event type WRD Language eng - English Country DE - Germany Keywords Texture ; texture synthesis ; compound random field model ; CAR model ; two-dimensional Bernoulli mixture ; two-dimensional Gaussian mixture ; bidirectional texture function Subject RIV BD - Theory of Information OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects GA14-10911S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 UT WOS 000418399200006 EID SCOPUS 85013427588 DOI 10.1007/978-3-319-52277-7_6 Annotation Two novel models for texture representation using parametric compound random field models are introduced. These models consist of a set of several sub-models each having different characteristics along with an underlying structure model which controls transitions between them. The structure model is a two-dimensional probabilistic mixture model either of the Bernoulli or Gaussian mixture type. Local textures are modeled using the fully multispectral three-dimensional causal auto-regressive models. Both presented compound random field models allow to reproduce, compress, edit, and enlarge a given measured color, multispectral, or bidirectional texture function (BTF) texture so that ideally both measured and synthetic textures are visually indiscernible. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2018
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