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A Probabilistic Approach to Rough Texture Compression and Rendering
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SYSNO ASEP 0433357 Document Type C - Proceedings Paper (int. conf.) R&D Document Type The record was not marked in the RIV Title A Probabilistic Approach to Rough Texture Compression and Rendering Author(s) Filip, Jiří (UTIA-B) RID, ORCID
Grim, Jiří (UTIA-B) RID, ORCID
Haindl, Michal (UTIA-B) RID, ORCIDNumber of authors 3 Source Title MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding. - Antalya, Turkey : Bilkent University, 2013 Pages s. 8-12 Number of pages 5 s. Publication form Online - E Action MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding Event date 03.10.2013-04.10.2013 VEvent location Antalya Country TR - Turkey Event type WRD Language eng - English Country TR - Turkey Keywords rough texture ; BTF compression ; mixture model 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) GAP103/11/0335 GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 Annotation Rough textures describe a general visual appearance of real-world materials with regard to view and illumination directions. As the massive size and dimensionality of such representations is a main limitation of their broader use, efficient parameterization and compression methods are needed. Our method is based on estimating the joint probability density of the included nine spatial, directional, and spectral variables in the form of a Gaussian mixture of product components. Our reflectance prediction formula can be expressed analytically as a simple continuous function of input variables and allows fast analytic evaluation for arbitrary spatial and directional values without need for a lengthy interpolation from a finite grid of angular measurements. This method achieves high compression ratio increasing linearly with texture spatial resolution. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2015
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