0392214 20240103202532.620130611235959.9 000321532100009 84876543004 10.1016/j.cag.2013.02.010 12 s. P cav_un_epca*02525510097-8493375 (2013)376-388Elsevier apparent BRDF measurement reconstruction sparse sampling portable setup cav_un_auth*0101086 Filip Jiří Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition G 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 Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2013/RO/filip-0392214.pdf 239294 EC ERG (European Reintegration Grant) FP7 BE cav_un_auth*0301476 GAP103/11/0335 GA ČR cav_un_auth*0273627 Although computer graphics uses measured view and illumination dependent data to achieve realistic digital reproduction of real-world material properties, the extent of their utilization is currently limited by a complicated acquisition process. Due to the high dimensionality of such data, the acquisition process is demanding on time and resources. Proposed is a method of approximate reconstruction of the data from a very sparse dataset, obtained quickly using inexpensive hardware. This method does not impose any restrictions on input datasets and can handle anisotropic, non-reciprocal view and illumination direction-dependent data. The method's performance was tested on a number of isotropic and anisotropic apparent BRDFs, and the results were encouraging. 2014 BD 2 4 A 4a 20231122135621.5 RVO:67985556 http://hdl.handle.net/11104/0221740 COMPUTERSCIENCESOFTWAREENGINEERING 1.151 0.425 7.VI 0.00514 0.739 1268 87 0.520 ScienceCitationIndexExpanded Q1 66.761 52.857 Q2 Q2 2013 Soubory v repozitáři: filip-0392214.pdf 84876543004 SCOPUS 000321532100009 WOS cav_un_epca*0252551 Computers & Graphics-Uk 0097-8493 1873-7684 Roč. 37 č. 5 2013 376 388 Elsevier