0346561 20240111140742.720100907235959.9 4 s. cav_un_epca*0346559978-1-4244-7542-11051-4651862-865Los AlamitosIEEE Computer Society CPS2010 BTF compression eye-tracking visual psychophysics cav_un_auth*0101086 Filip Jiří 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*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*0242136 Chantler M.J. GB 10.1109/ICPR.2010.217 http://library.utia.cas.cz/separaty/2010/RO/filip-gaze-motivated compression of illumination and view dependent textures.pdf 1M0572 GA MŠk cav_un_auth*0001814 ERG 239294 EC Marie Curie BE GA102/08/0593 GA ČR cav_un_auth*0239567 CEZ:AV0Z10750506 Illumination and view dependent texture provide ample information on the appearance of real materials at the cost of enormous data storage requirements. Hence, past research focused mainly on compression and modelling of these data, however, few papers have explicitly addressed the way in which humans perceive these compressed data. We analyzed human gaze information to determine appropriate texture statistics. These statistics were then exploited in a pilot illumination and view direction dependent data compression algorithm. Our results showed that taking into account local texture variance can increase compression of current methods more than twofold, while preserving original realistic appearance and allowing fast data reconstruction. 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/11104/0187561 50 0.420 10.52 0.85 2010 10.1109/ICPR.2010.217 cav_un_epca*0346559 20th International Conference on Pattern Recognition 978-1-4244-7542-1 1051-4651 862 865 Los Alamitos IEEE Computer Society CPS 2010