0346563 20240103193759.320100907235959.9 10.1109/10.1109/ICPR.2010.518 4 s. cav_un_epca*0346559978-1-4244-7542-11051-46512114-2117Los AlamitosIEEE Computer Society CPS2010 near-regular texture texture editing Markov random field bidirectional texture function cav_un_auth*0101093 Haindl 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. cav_un_auth*0237115 Hatka Martin Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/RO/haindl-near-regular btf texture model.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA102/08/0593 GA ČR cav_un_auth*0239567 2C06019 GA MŠk CZ cav_un_auth*0216518 CEZ:AV0Z10750506 In this paper we present a method for seamless enlargement and editing of intricate near-regular type of bidirectional texture function (BTF) which contains simultaneously both regular periodic and stochastic components. Such BTF textures cannot be convincingly synthesised using neither simple tiling nor using purely stochastic models. However these textures are ubiquitous in many man-made environments and also in some natural scenes. Thus they are required for their realistic appearance visualisation. The principle of the presented BTF-NR synthesis and editing method is to automatically separate periodic and random components from one or more input textures. Each of these components is subsequently independently modelled using its corresponding optimal method. The regular texture part is modelled using our roller method, while the random part is synthesised from its estimated exceptionally efficient Markov random field based representation. cav_un_auth*0263643 20th International Conference on Pattern Recognition ICPR 2010 Istanbul 23.08.2010-26.08.2010 TR 2011 BD http://hdl.handle.net/11104/0187563 50 0.420 10.52 0.85 2010 cav_un_epca*0346559 20th International Conference on Pattern Recognition 978-1-4244-7542-1 1051-4651 2114 2117 Los Alamitos IEEE Computer Society CPS 2010