0455325 20240103211743.620160215235959.9 7 s. P cav_un_epca*04553241-7PrahaČeské vysoké učení technické v Praze2015AmbrožPetrMasákováZuzana Bidirectional texture function moving average random field model 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/2016/RO/havlicek-0455325.pdf The bidirectional texture function (BTF) is the recent most advanced representation of visual properties of material surface. It specifies its appearance due to varying spatial, illumination, and viewing conditions. Corresponding enormous BTF measurements require compact mathematical representation for visual fidelity preserving compression. We present a novel BTF model based on a set of underlying three dimensional moving average random field (3D MA RF) models. 3D MA assumes the texture considered as a product of a convolution of an uncorrelated three dimensional random field with a three dimensional filter which completely characterizes the texture. The BTF model combines several spatial factors, subsequently factorized into a set of 3D MA representations, and range map to produce the required BTF texture. This enables high BTF space compression ratio, unrestricted texture enlargement, and reconstruction of unmeasured parts of the BTF space. We also compare proposed model with its simpler two dimensional variant in terms of colour distribution fidelity. cav_un_auth*0326906 Doktorandské dny 2015 Praha 20.11.2015,27.11.2015 CZ 2016 BD 1 PR RVO:67985556 http://hdl.handle.net/11104/0257088 S 2015 cav_un_epca*0455324 Doktorandské dny 2015 1 7 Praha České vysoké učení technické v Praze 2015 Ambrož Petr 340 Masáková Zuzana 340