0495060 20240111141008.020181023235959.9 10 s. E cav_un_epca*0495059ShrewsburySMITHER Rapra2018 effect coatings appearance capturing instrument gonioreflectometer measurement cav_un_auth*0101086 Rozpoznávání obrazu Department of Pattern Recognition RO RO Department of Pattern Recognition 80% Filip Jiří UTIA-B K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0330886 20 Maile F. J. DE K PDF http://library.utia.cas.cz/separaty/2018/RO/filip-0495060.pdf 7MB cav_un_auth*0347019 GA17-18407S GA ČR Visualization and analysis of effect coatings capturing, become highly important nowadays, when digital appearance content is necessary for facilitating quick communication of material appearance properties across various industries. The contribution of this paper is twofold. First, we discuss development of measurement geometries used in the industry, discuss limitations related to small instruments and finally compare three selected instruments in terms of luminance and color. Second, present an application of minimal sampling approach to reconstruct dense in-plane geometries based on a sparse set of measured geometries. As this approach relies on properties of a created PCA basis, we show how one can optimize sparse directions for specific pigment types or coating systems. As the span of our tested coatings is limited, we present this optimization method as an application showcase rather than a reference directions. cav_un_auth*0365978 Pigment and Color Science Forum 20181003 20181005 Boston US BD 20000 20200 20205 2019 2 PR RVO:67985556 http://hdl.handle.net/11104/0289402 1 cav_un_auth*0357892 Schlenk Metallic Pigments GmbH SCHLENK DE S 2018 SCOPUS PUBMED WOS PDF 7MB cav_un_epca*0495059 Proceedings of Pigment and Colour Science Forum 2018 Shrewsbury SMITHER Rapra 2018