0486116 20240111140956.520180205235959.9 85050943059 10.1007/s41095-017-0099-z 15 s. E cav_un_epca*04861152096-043341 (2018)55-69Springer anisotropic BRDF slice sampling 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/2018/RO/vavra-0486116.pdf cav_un_auth*0347019 GA17-18407S GA ČR BRDF continues to be used as a fundamental tool for representing material appearance in computer graphics. In this paper 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 thirteen 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. BD 10000 10200 10201 2019 2 RVO:67985556 http://hdl.handle.net/11104/0281411 S 2018 85050943059 SCOPUS PUBMED WOS PDF cav_un_epca*0486115 Computational Visual Media 2096-0433 2096-0662 Roč. 4 č. 1 2018 55 69 Springer