0565332 20240103231028.320221212235959.9 85145254256 000916496900035 10.1007/978-3-031-21967-2_35 12 s. E cav_un_epca*0565331978-3-031-21966-50302-9743434-444ChamSpringer Nature2022NguyenNgoc ThanhTranTien KhoaTukayevUalsherHongTzung-PeiTrawinskiBogdanSzczerbickiEdward BRDF modeling anisotropy criterion hyperspectral BRDF cav_un_auth*0101093 Haindl Michal UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101100 Havlíček Vojtěch UTIA-B Rozpoznávání obrazu Department of Pattern Recognition RO RO Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2022/RO/haindl-0565332.pdf GA19-12340S GA ČR CZ cav_un_auth*0376011 Visual scene recognition is predominantly based on visual textures representing an object's material properties. However, the single material texture varies in scale and illumination angles due to mapping an object's shape. We present an anisotropy criterion of bidirectional reflectance distribution function (BRDF), which allows deciding if a simpler isotropic BRDF model can be used or if it is necessary to use a more complex anisotropic BRDF model. The criterion simultaneously shows dominant angular orientations for the anisotropic materials. The anisotropic criterion is tested on several isotropic and anisotropic surface materials, with BRDF computed from the measured seven-dimensional Bidirectional Texture Function. cav_un_auth*0441234 Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022) /14./ 20221128 20221130 Ho Chi Minh City VN BD 20000 20200 20205 2023 2 PR RVO:67985556 https://hdl.handle.net/11104/0337888 S 3+4 Proceedings Paper Computer Science Artificial Intelligence|Computer Science Information Systems|Computer Science Theory Methods 499 0.249 24.53 1.2 80471 Q3 2022 85145254256 SCOPUS PUBMED 000916496900035 WOS cav_un_epca*0565331 Intelligent Information and Database Systems Springer Nature 2022 Cham 434 444 978-3-031-21966-5 Lecture Notes in Artificial Intelligence 13758 0302-9743 1611-3349 Nguyen Ngoc Thanh 340 Tran Tien Khoa 340 Tukayev Ualsher 340 Hong Tzung-Pei 340 Trawinski Bogdan 340 Szczerbicki Edward 340