0433583 20240903114537.420141023235959.9 000344455700100 84908544196 10.3390/s141019785 21 s. E cav_un_epca*02583661424-82201410 (2014)19785-19805MDPI measurement setup material appearance BTF ABRDF visual psychophysics cav_un_auth*0101086 Filip Jiří Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition 60 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 30 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0292156 Krupička Mikuláš Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition 10 Ústav teorie informace a automatizace AV ČR, v. v. i. hypertextový soubor PDF http://library.utia.cas.cz/separaty/2014/RO/filip-0433583.pdf 17MB GA14-02652S GA ČR CZ cav_un_auth*0303412 239294 EC FP7, European Reintegration Grant BE cav_un_auth*0301476 GA14-10911S GA ČR CZ cav_un_auth*0303439 GAP103/11/0335 GA ČR cav_un_auth*0273627 A photo-realistic representation of material appearance can be achieved by means of bidirectional texture function (BTF) capturing a material’s appearance for varying illumination, viewing directions, and spatial pixel coordinates. BTF captures many non-local effects in material structure such as inter-reflections, occlusions, shadowing, or scattering. The acquisition of BTF data is usually time and resource-intensive due to the high dimensionality of BTF data. This results in expensive, complex measurement setups and/or excessively long measurement times. We propose an approximate BTF acquisition setup based on a simple, affordable mechanical gantry containing a consumer camera and two LED lights. It captures a very limited subset of material surface images by shooting several video sequences. A psychophysical study comparing captured and reconstructed data with the reference BTFs of seven tested materials revealed that results of our method show a promising visual quality. 2015 BD 3 4 A 4a 20231122140530.4 RVO:67985556 http://hdl.handle.net/11104/0237784 S ELECTROCHEMISTRY|CHEMISTRYANALYTICAL|INSTRUMENTSINSTRUMENTATION 0.566 0.707 Q2 41.623 64.535 Q3 Q3 2014 Soubory v repozitáři: filip-0433583.pdf 84908544196 SCOPUS 000344455700100 WOS hypertextový soubor PDF 17MB cav_un_epca*0258366 Sensors 1424-8220 1424-8220 Roč. 14 č. 10 2014 19785 19805 MDPI ONLINE