0393865 20240111140832.120130716235959.9 000331094301067 84887330932 10.1109/CVPR.2013.193 6 s. C cav_un_epca*0393864978-0-7695-4990-32160-75081468-1473New YorkIEEE Computer Society Conference Publishing Services2013 BRDF slices adaptive anisotropic material appearance measurement device 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. cav_un_auth*0101093 Haindl Michal Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101239 Žid Pavel Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition 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 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0257389 Havran V. CZ hypertextový soubor (PDF) http://library.utia.cas.cz/separaty/2013/RO/filip-0393865.pdf 1MB 239294 EC FP7, European Reintegration Grant BE cav_un_auth*0301476 GAP103/11/0335 GA ČR cav_un_auth*0273627 In this paper we introduce unique publicly available dense anisotropic BRDF data measurements. We use this dense data as a reference for performance evaluation of the proposed BRDF sparse angular sampling and interpolation approach. The method is based on sampling of BRDF subspaces at fixed elevations by means of several adaptively-represented, uniformly distributed, perpendicular slices. Although this proposed method requires only a sparse sampling of material, the interpolation provides a very accurate reconstruction, visually and computationally comparable to densely measured reference. Due to the simple slices measurement and method's robustness it allows for a highly accurate acquisition of BRDFs. This in comparison with standard uniform angular sampling, is considerably faster yet uses far less samples. cav_un_auth*0292157 Computer Vision and Pattern Recognition Portland, OR 23.06.2013-28.06.2013 US 2014 BD 6 4 A 4a 20231122135656.4 PO RVO:67985556 http://hdl.handle.net/11104/0222416 n.a. Proceedings Paper Computer Science Artificial Intelligence 2013 Soubory v repozitáři: filip-0393865.pdf 84887330932 SCOPUS 000331094301067 WOS hypertextový soubor (PDF) 1MB cav_un_epca*0393864 Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 978-0-7695-4990-3 2160-7508 1468 1473 Proceedings of the 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition New York IEEE Computer Society Conference Publishing Services 2013