79145 20231006143252.0 doi 10.1145/3306346.3323036 sideral 111642 ART-2019-111642 eng Lagunas, Manuel Universidad de Zaragoza A similarity measure for material appearance 2019 Access copy available to the general public Unrestricted We 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. info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON 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/ES/MINECO/TIN2016-78753-P info:eu-repo/grantAgreement/ES/MINECO/TIN2016-79710-P info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 5.084 2019 COMPUTER SCIENCE, SOFTWARE ENGINEERING 8 / 107 = 0.075 2019 Q1 T1 4.014 2019 Computer Graphics and Computer-Aided Design 2019 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Malpica, Sandra Universidad de Zaragoza (orcid)0000-0002-8016-7649 Serrano, Ana Universidad de Zaragoza (orcid)0000-0002-7796-3177 Garces, Elena Gutierrez, Diego Universidad de Zaragoza (orcid)0000-0002-7503-7022 Masia, Belen Universidad de Zaragoza (orcid)0000-0003-0060-7278 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 38, 4 (2019), 135 [12 pp.] ACM trans. graph. ACM TRANSACTIONS ON GRAPHICS 0730-0301 11372908 http://zaguan.unizar.es/record/79145/files/texto_completo.pdf Postprint 3064044 http://zaguan.unizar.es/record/79145/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:79145 articulos driver 2023-10-06-14:06:08 ARTICLE