0389560 20240103202224.620130611235959.9 10 s. P cav_un_epca*0368077978-80-01-04907-547-56PrahaFJFI ČVUT2011AmbrožPetrMasákováZuzana BTF texture analysis texture synthesis data compression virtual reality cav_un_auth*0283206 Havlíček Michal Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2013/RO/havlicek-msar btf model.pdf 387/2010 CESNET CZ GA102/08/0593 GA ČR cav_un_auth*0239567 GA103/11/0335 GA ČR CZ CEZ:AV0Z10750506 The Bidirectional Texture Function (BTF) is the recent most advanced representation of material surface visual properties. BTF specifies the changes of visual appearance due to varying illumination and viewing conditions. Such a function might be represented by thousands of images of surface taken in given illumination and viewing conditions per sample of the material. Resulting BTF size, hundreds of gigabytes, excludes its direct rendering in graphical applications, accordingly some compression of these data is obviously necessary. This paper presents a novel probabilistic model based algorithm for realistic multispectral BTF texture modelling. This complex but efficient method combines several multispectral band limited spatial factors and corresponding range map to produce the required BTF texture. Proposed scheme enables very high BTF texture compression ratio and in addition may be used to reconstruct BTF space i.e. non-measured parts of the BTF space. cav_un_auth*0276641 Doktorandské Dny 2011 Praha 11.11.2011-25.11.2011 CZ 2014 BD 1 PR http://hdl.handle.net/11104/0221736 2011 cav_un_epca*0368077 Doktorandské Dny 2011 978-80-01-04907-5 47 56 Praha FJFI ČVUT 2011 Ambrož Petr 340 Masáková Zuzana 340