0479793 20240111140948.220171018235959.9 10.2312/pg.20171316 6 s. E cav_un_epca*0479792978-3-03868-051-21-6GoslarThe Eurographics Association2017BarbicJernejLinWen-ChiehSorkine-HornungOlga Three-Dimensional Graphics and Realism-Color, shading, shadowing, and texture Digitization and Image Capture-Reflectance BRDF cav_un_auth*0282273 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 50 Vávra Radomír UTIA-B K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101086 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 50 Filip Jiří UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. PDF http://library.utia.cas.cz/separaty/2017/RO/vavra-0479793.pdf 3 MB cav_un_auth*0347019 GA17-18407S GA ČR We present a practical adaptive method for acquisition of the anisotropic BRDF. It is based on a sparse adaptive measurement of the complete four-dimensional BRDF space by means of one-dimensional slices which form a sparse four-dimensional structure in the BRDF space and which can be measured by continuous movements of a light source and a sensor. Such a sampling approach is advantageous especially for gonioreflectometer-based measurement devices where the mechanical travel of a light source and a sensor creates a significant time constraint. In order to evaluate our method, we perform adaptive measurements of three materials and we simulate adaptive measurements of ten others. We achieve a four-times lower reconstruction error in comparison with the regular non-adaptive BRDF measurements given the same count of measured samples. Our method is almost twice better than a previous adaptive method, and it requires from two- to five-times less samples to achieve the same results as alternative approaches. cav_un_auth*0351757 The 25th Pacific Conference on Computer Graphics and Applications 20171016 20171019 Taipei TW BD 10000 10200 10201 2018 2 PR RVO:67985556 http://hdl.handle.net/11104/0276753 S 1 2017 SCOPUS PUBMED WOS PDF 3 MB cav_un_epca*0479792 Pacific Graphics Short Papers The Eurographics Association 2017 Goslar 1 6 978-3-03868-051-2 340 Barbic Jernej 340 Lin Wen-Chieh 340 Sorkine-Hornung Olga