0490440 20240111141002.720180619235959.9 85046774155 000433557400006 10.1007/s00371-018-1545-3 11 s. P cav_un_epca*02553350178-278934805-816Springer Material appearance Psychophysics Rendering BTF Perception Psychophysics MAM2014 cav_un_auth*0101086 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 40 Filip Jiří UTIA-B K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0361777 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 20 Kolafová Martina UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0283206 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 10 Havlíček Michal UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0282273 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 10 Vávra Radomír UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101093 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 10 Haindl Michal UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0361926 10 Rushmeier H. US PDF http://library.utia.cas.cz/separaty/2018/RO/filip-0490440.pdf 12MB cav_un_auth*0361780 IIS-1218515 US National Science Foundation Grant US GA17-18407S GA ČR cav_un_auth*0347019 Many representations and rendering techniques have been proposed for presenting material appearance in computer graphics. One outstanding problem is evaluating their accuracy. In this paper, we propose assessing accuracy by comparing human judgements of material attributes made when viewing a computer graphics rendering to those made when viewing a physical sample of the same material. We demonstrate this approach using 16 diverse physical material samples distributed to researchers at the MAM 2014 workshop. We performed two psychophysical experiments. In the first experiment we examined how consistently subjects rate a set of twelve visual, tactile and subjective attributes of individual physical material specimens. In the second experiment, we asked subjects to assess the same attributes for identical materials rendered as BTFs under point-light and environment illuminations. By analyzing obtained data, we identified which material attributes and material types are judged consistently and to what extent the computer graphics representation conveyed the experience of viewing physical material appearance. cav_un_auth*0361779 CGI - Computer Graphics International 20180611 20180614 Bintan ID WOS BD 20000 20200 20201 2019 6 4 A hod 4ah 20231122143239.5 RVO:67985556 http://hdl.handle.net/11104/0284810 cav_un_auth*0296775 Yale University US 1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE S 3+4 Article|Proceedings Paper Computer Science Software Engineering COMPUTERSCIENCE.SOFTWAREENGINEERING 1.558 0.492 6.7 0.00366 0.47 2140 0.375 1.207 128 Q3 49.973 48.1 Q3 Q3 0.6 Q3 48.131 2018 Soubory v repozitáři: filip-0490440.pdf 85046774155 SCOPUS PUBMED 000433557400006 WOS PDF 12MB cav_un_epca*0255335 Visual Computer 0178-2789 1432-2315 Roč. 34 6-8 2018 805 816 Springer