0378636 20240903204332.320120828235959.9 2 s. cav_un_epca*02904900926-4981201290 (2012)49-50European Research Consortium for Informatics and Mathematics surface material appearance BTF modelling visual texture 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*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*0282273 Vávra Radomír 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/2012/RO/haindl-digital material appearance the curse of tera-bytes.pdf LG11009 GA MŠk CZ cav_un_auth*0271559 GA102/08/0593 GA ČR cav_un_auth*0239567 GAP103/11/0335 GA ČR cav_un_auth*0273627 360/2009 CESNET CZ Real surface material visual appearance is a highly complex physical phenomenon which intricately depends on incident and reflected spherical angles, time, light spectrum and other physical variables. The best current measurable representation of a material appearance requires tens of thousands of images using a sophisticated high precision automatic measuring device. This results in a huge amount of data which can easily reach tens of tera-bytes for a single measured material. Nevertheless, these data have insufficient spatial extent for any real virtual reality applications and have to be further enlarged using advanced modelling techniques. In order to apply such expensive and massive measurements to a car interior design, for instance, we would need at least 20 such demanding material measurements. 2013 BD 3 RVO:67985556 http://hdl.handle.net/11104/0210057 2012 cav_un_epca*0290490 ERCIM News 0926-4981 1564-0094 Roč. 2012 č. 90 2012 49 50 European Research Consortium for Informatics and Mathematics