0501036 20240111141015.120190205235959.9 85061215223 000460393600001 10.1145/3301412 19 s. P cav_un_epca*03298281544-355816Association for Computing Machinery BRDF attributes perception visual tactile user study cav_un_auth*0101086 Department of Pattern Recognition 80 Filip Jiří UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0361777 Department of Pattern Recognition 20 Kolafová Martina UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Ústav teorie informace a automatizace AV ČR, v. v. i. PDF http://library.utia.cas.cz/separaty/2019/RO/filip-0501036.pdf 15MB https://dl.acm.org/doi/10.1145/3301412 cav_un_auth*0347019 GA17-18407S GA ČR Material appearance is often represented by a bidirectional reflectance distribution function (BRDF). Although the concept of the BRDF is widely used in computer graphics and related applications, the number of actual captured BRDFs is limited due to a time and resources demanding measurement process. Several BRDF databases have already been provided publicly, yet subjective properties of underlying captured material samples, apart from single photographs, remain unavailable for users. In this paper we analyzed material samples, used in the creation of the UTIA BRDF database, in a psychophysical study with nine subjects and assessed its twelve visual, tactile, and subjective attributes. Further, we evaluated the relationship between the attributes and six material categories. We consider the presented perceptual analysis as valuable and complementary information to the database, that could aid users to select appropriate materials for their applications. WOS BD 20000 20200 20205 2020 2 4 A hod 4ah 20231122143808.3 RVO:67985556 http://hdl.handle.net/11104/0293335 1 1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE S 1 1 Article Optics C COMPUTERSCIENCE.SOFTWAREENGINEERING 1.339 0.286 9.4 0.00057 0.409 486 60 0.489 41.82 2.9 191 Q2 1.333 21 Q3 48.642 42.1 Q3 Q4 0.72 Q2 42.13 2019 Soubory v repozitáři: filip-0501036.pdf 85061215223 SCOPUS PUBMED 000460393600001 WOS PDF 15MB cav_un_epca*0329828 ACM Transactions on Applied Perception 1544-3558 1544-3965 Roč. 16 č. 1 2019 Association for Computing Machinery