000079145 001__ 79145 000079145 005__ 20231006143252.0 000079145 0247_ $$2doi$$a10.1145/3306346.3323036 000079145 0248_ $$2sideral$$a111642 000079145 037__ $$aART-2019-111642 000079145 041__ $$aeng 000079145 100__ $$aLagunas, Manuel$$uUniversidad de Zaragoza 000079145 245__ $$aA similarity measure for material appearance 000079145 260__ $$c2019 000079145 5060_ $$aAccess copy available to the general public$$fUnrestricted 000079145 5203_ $$aWe present a model to measure the similarity in appearance between di erent materials, which correlates with human similarity judgments. We rst create a database of 9,000 rendered images depicting objects with varying materials, shape and illumination. We then gather data on perceived similarity from crowdsourced experiments; our analysis of over 114,840 answers suggests that indeed a shared perception of appearance similarity exists. We feed this data to a deep learning architecture with a novel loss function, which learns a feature space for materials that correlates with such perceived appearance similarity. Our evaluation shows that our model outperforms existing metrics. Last, we demonstrate several applications enabled by our metric, including appearance-based search for material suggestions, database visualization, clustering and summarization, and gamut mapping. 000079145 536__ $$9info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2016-79710-P 000079145 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000079145 590__ $$a5.084$$b2019 000079145 592__ $$a4.014$$b2019 000079145 591__ $$aCOMPUTER SCIENCE, SOFTWARE ENGINEERING$$b8 / 107 = 0.075$$c2019$$dQ1$$eT1 000079145 593__ $$aComputer Graphics and Computer-Aided Design$$c2019$$dQ1 000079145 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000079145 700__ $$0(orcid)0000-0002-8016-7649$$aMalpica, Sandra$$uUniversidad de Zaragoza 000079145 700__ $$0(orcid)0000-0002-7796-3177$$aSerrano, Ana$$uUniversidad de Zaragoza 000079145 700__ $$aGarces, Elena 000079145 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza 000079145 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza 000079145 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000079145 773__ $$g38, 4 (2019), 135 [12 pp.]$$pACM trans. graph.$$tACM TRANSACTIONS ON GRAPHICS$$x0730-0301 000079145 8564_ $$s11372908$$uhttps://zaguan.unizar.es/record/79145/files/texto_completo.pdf$$yPostprint 000079145 8564_ $$s3064044$$uhttps://zaguan.unizar.es/record/79145/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint 000079145 909CO $$ooai:zaguan.unizar.es:79145$$particulos$$pdriver 000079145 951__ $$a2023-10-06-14:06:08 000079145 980__ $$aARTICLE