Number of the records: 1
A Compound Moving Average Bidirectional Texture Function Model
- 1.
SYSNO ASEP 0462884 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title A Compound Moving Average Bidirectional Texture Function Model Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Havlíček, Michal (UTIA-B) RIDNumber of authors 2 Source Title Multimedia and Network Information Systems. - Switzerland : Springer Internatiion Publishing, 2017 / Zgrzynowa Alexander ; Choros Kazimierz ; Sieminski Andrzej - ISSN 2194-5357 - ISBN 978-3-319-43981-5 Pages 89-98, s. 89-98 Number of pages 10 s. Publication form Print - P Action Multimedia and Network Information Systems MISSI 2016 /10./ Event date 14.09.2016 - 16.09.2016 VEvent location Wroclaw Country PL - Poland Event type WRD Language eng - English Country CH - Switzerland Keywords bidirectional texture function ; texture synthesis ; compound random field model Subject RIV BD - Theory of Information OECD category Applied mathematics R&D Projects GA14-10911S GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 UT WOS 000398736400008 EID SCOPUS 84988521877 DOI 10.1007/978-3-319-43982-2 Annotation This paper describes a simple novel compound random field model capable of realistic modelling the most advanced recent representation of visual properties of surface materials - the bidirectional texture function. The presented compound random field model combines a non-parametric control random field with local multispectral models for single regions and thus allows to avoid demanding iterative methods for both parameters estimation and the compound random field synthesis. The local textur regions (not necessarily continuous) are represented by an analytical bidirectional texture function model which consists of single scale factors modeled by the three-dimensional moving average random field model which can be analytically estimated as well as synthesized. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2017
Number of the records: 1