0346562 20240103193759.120100907235959.9 10.1109/ICPR.2010.442 4 s. cav_un_epca*0346559978-1-4244-7542-11051-46511792-1795Los AlamitosIEEE Computer Society CPS2010 compound 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*0101100 Havlíček Vojtěch 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/2010/RO/haindl-a compound mrf 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 This paper describes a novel compound Markov random field model capable of realistic modelling of multispectral bidirectional texture function, which is currentl the most advanced representation of visual properties of surface materials. The proposed compound Markov random field model combines a non-parametric control random field with analytically solvable widesense Markov representation for single regions and thus allows to avoid demanding Markov Chain Monte Carlo methods for both parameters estimation and the compound random field synthesis. 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/11104/0187562 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 1792 1795 Los Alamitos IEEE Computer Society CPS 2010