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A hybrid BTF model based on Gaussian mixtures
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SYSNO ASEP 0411486 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title A hybrid BTF model based on Gaussian mixtures Title Hybridní model hrubé textury založený na Gaussovské směsi Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Grim, Jiří (UTIA-B) RID, ORCID
Pudil, Pavel (UTIA-B) RID
Kudo, M. (JP)Issue data Los Alamitos: IEEE, 2005 ISBN 1-904410-13-8 Source Title Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis / Chantler M. ; Drbohlav O. Pages s. 95-100 Number of pages 6 s. Action International Workshop on Texture Analysis and Synthesis /4./ Event date 21.10.2005 VEvent location Beijing Country CN - China Event type WRD Language eng - English Country US - United States Keywords BTF textures ; virtual reality ; image modelling Subject RIV BD - Theory of Information R&D Projects IAA2075302 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) 1ET400750407 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation A generalization of our Gaussian distribution mixtures based method to Bidirectional Texture Function (BTF) modelling is discussed. We estimate the local statistical properties of the monospectral version of the BTF texture in the form of a Gaussian mixture of product components. The synthesized texture is obtained by means of a step-wise prediction of the whole fixed view BTF texture subspace. In order to achieve an authentic BTF texture we use optimally chosen pieces of the original BTF for synthesis. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2006
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