000061921 001__ 61921 000061921 005__ 20200221144301.0 000061921 0247_ $$2doi$$a10.1145/2980179.2980242 000061921 0248_ $$2sideral$$a99248 000061921 037__ $$aART-2016-99248 000061921 041__ $$aeng 000061921 100__ $$0(orcid)0000-0002-7796-3177$$aSerrano, Ana$$uUniversidad de Zaragoza 000061921 245__ $$aAn intuitive control space for material appearance 000061921 260__ $$c2016 000061921 5060_ $$aAccess copy available to the general public$$fUnrestricted 000061921 5203_ $$aMany different techniques for measuring material appearance have been proposed in the last few years. These have produced large public datasets, which have been used for accurate, data-driven appearance modeling. However, although these datasets have allowed us to reach an unprecedented level of realism in visual appearance, editing the captured data remains a challenge. In this paper, we present an intuitive control space for predictable editing of captured BRDF data, which allows for artistic creation of plausible novel material appearances, bypassing the difficulty of acquiring novel samples. We first synthesize novel materials, extending the existing MERL dataset up to 400 mathematically valid BRDFs. We then design a large-scale experiment, gathering 56,000 subjective ratings on the high-level perceptual attributes that best describe our extended dataset of materials. Using these ratings, we build and train networks of radial basis functions to act as functionals mapping the perceptual attributes to an underlying PCA-based representation of BRDFs. We show that our functionals are excellent predictors of the perceived attributes of appearance. Our control space enables many applications, including intuitive material editing of a wide range of visual properties, guidance for gamut mapping, analysis of the correlation between perceptual attributes, or novel appearance similarity metrics. Moreover, our methodology can be used to derive functionals applicable to classic analytic BRDF representations. We release our code and dataset publicly, in order to support and encourage further research in this direction. 000061921 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41857-P$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON 000061921 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000061921 590__ $$a4.088$$b2016 000061921 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b1 / 106 = 0.009$$c2016$$dQ1$$eT1 000061921 592__ $$a1.946$$b2016 000061921 593__ $$aComputer Graphics and Computer-Aided Design$$c2016$$dQ1 000061921 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000061921 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza 000061921 700__ $$aMyszkowski, Karol 000061921 700__ $$aSeidel, Hans-Peter 000061921 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza 000061921 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000061921 773__ $$g35, 6 (2016), 186 [12 pp]$$pACM trans. graph.$$tACM TRANSACTIONS ON GRAPHICS$$x0730-0301 000061921 8564_ $$s5454992$$uhttps://zaguan.unizar.es/record/61921/files/texto_completo.pdf$$yPostprint 000061921 8564_ $$s115157$$uhttps://zaguan.unizar.es/record/61921/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000061921 909CO $$ooai:zaguan.unizar.es:61921$$particulos$$pdriver 000061921 951__ $$a2020-02-21-13:32:19 000061921 980__ $$aARTICLE