000144804 001__ 144804 000144804 005__ 20241125101203.0 000144804 0247_ $$2doi$$a10.1111/cgf.15148 000144804 0248_ $$2sideral$$a139599 000144804 037__ $$aART-2024-139599 000144804 041__ $$aeng 000144804 100__ $$0(orcid)0000-0001-7183-8159$$aLanza, Dario$$uUniversidad de Zaragoza 000144804 245__ $$aPractical appearance model for foundation cosmetics 000144804 260__ $$c2024 000144804 5060_ $$aAccess copy available to the general public$$fUnrestricted 000144804 5203_ $$aCosmetic products have found their place in various aspects of human life, yet their digital appearance reproduction has received little attention. We present an appearance model for cosmetics, in particular for foundation layers, that reproduces a range of existing appearances of foundation cosmetics: from a glossy to a matte to an almost velvety look. Our model is a multilayered BSDF that reproduces the stacking of multiple layers of cosmetics. Inspired by the microscopic particulates used in cosmetics, we model each individual layer as a stochastic participating medium with two types of scatterers that mimic the most prominent visual features of cosmetics: spherical diffusers, resulting in a uniform distribution of radiance; and platelets, responsible for the glossy look of certain cosmetics. We implement our model on top of the position‐free Monte Carlo framework, that allows us to include multiple scattering. We validate our model against measured reflectance data, and demonstrate the versatility and expressiveness of our model by thoroughly exploring the range of appearances that it can produce. 000144804 536__ $$9info:eu-repo/grantAgreement/EC/H2020/ 814158/EU/Appearance Printing - European Advanced Research School/ApPEARS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 814158-ApPEARS$$9info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME 000144804 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000144804 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000144804 700__ $$aPadrón-Griffe, Juan Raúl$$uUniversidad de Zaragoza 000144804 700__ $$aPranovich, Alina 000144804 700__ $$0(orcid)0000-0002-8160-7159$$aMuñoz, Adolfo$$uUniversidad de Zaragoza 000144804 700__ $$aFrisvad, Jeppe Revall 000144804 700__ $$0(orcid)0000-0001-9000-0466$$aJarabo, Adrián 000144804 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000144804 773__ $$g43, 4 (2024), e15148 [13 pp.]$$pComput. graph. forum$$tComputer Graphics Forum$$x0167-7055 000144804 8564_ $$s548914$$uhttps://zaguan.unizar.es/record/144804/files/texto_completo.pdf$$yVersión publicada 000144804 8564_ $$s1985777$$uhttps://zaguan.unizar.es/record/144804/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000144804 909CO $$ooai:zaguan.unizar.es:144804$$particulos$$pdriver 000144804 951__ $$a2024-11-22-12:13:01 000144804 980__ $$aARTICLE