61921 20200221144301.0 doi 10.1145/2980179.2980242 sideral 99248 ART-2016-99248 eng (orcid)0000-0002-7796-3177 Serrano, Ana Universidad de Zaragoza An intuitive control space for material appearance 2016 Access copy available to the general public Unrestricted Many 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. info:eu-repo/grantAgreement/ES/MINECO/TIN2013-41857-P This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 4.088 2016 COMPUTER SCIENCE, SOFTWARE ENGINEERING 1 / 106 = 0.009 2016 Q1 T1 1.946 2016 Computer Graphics and Computer-Aided Design 2016 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0002-7503-7022 Gutierrez, Diego Universidad de Zaragoza Myszkowski, Karol Seidel, Hans-Peter (orcid)0000-0003-0060-7278 Masia, Belen Universidad de Zaragoza 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 35, 6 (2016), 186 [12 pp] ACM trans. graph. ACM TRANSACTIONS ON GRAPHICS 0730-0301 5454992 http://zaguan.unizar.es/record/61921/files/texto_completo.pdf Postprint 115157 http://zaguan.unizar.es/record/61921/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:61921 articulos driver 2020-02-21-13:32:19 ARTICLE