0466234 20240111140929.320161202235959.9 84953924014 000395008400008 10.1111/cgf.12789 12 s. P cav_un_epca*02525490167-7055361 (2017)89-100Wiley appearance modelling BRDF BTF user study reflectance and shading 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*0282273 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 40 Vávra Radomír 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*0292156 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 10 Krupička Mikuláš UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2016/RO/filip-0466234.pdf 8MB cav_un_auth*0303412 GA14-02652S GA ČR CZ One of the most accurate yet still practical representation of material appearance is the Bidirectional Texture Function (BTF). The BTF can be viewed as an extension of Bidirectional Reflectance Distribution Function (BRDF) for additional spatial information that includes local visual effects such as shadowing, inter-reflection, subsurface-scattering, etc. However, the shift from BRDF to BTF represents not only a huge leap in respect to the realism of material reproduction, but also related high memory and computational costs stemming from the storage and processing of massive BTF data. In this work we argue that each opaque material, regardless of its surface structure, can be safely substituted by a BRDF without the introduction of a significant perceptual error when viewed from an appropriate distance. Therefore, we ran a set of psychophysical studies over 25 materials to determine so called critical viewing distances, i.e., the minimal distances at which the material spatial structure (texture) cannot be visually discerned. Our analysis determined such typical distances typical for several material categories often used in interior design applications. Furthermore, we propose a combination of computational features that can predict such distances without the need for a psychophysical study. We show that our work can significantly reduce rendering costs in applications that process complex virtual scenes. BD 20000 20200 20206 2018 4 4 A hod 4ah 20231122142042.6 RVO:67985556 http://hdl.handle.net/11104/0265787 1 Department of Pattern Recognition UTIA-B 10201 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE S 3+4 Article Computer Science Software Engineering 3+4 Article Computer Science Software Engineering 3+4 Article Computer Science Software Engineering COMPUTERSCIENCE.SOFTWAREENGINEERING 2.271 0.34 6.4 0.02316 1.413 6015 0.597 1.598 247 Q1 91.905 79.3 Q1* Q1 0.94 Q2 79.327 2017 Soubory v repozitáři: filip-0466234.pdf 84953924014 SCOPUS PUBMED 000395008400008 WOS 8MB cav_un_epca*0252549 Computer Graphics Forum 0167-7055 1467-8659 Roč. 36 č. 1 2017 89 100 Wiley