117338 20230519145507.0 doi 10.1167/JOV.21.5.16 sideral 126108 ART-2021-126108 eng Delanoy J. Universidad de Zaragoza Perception of material appearance:Aa comparison between painted and rendered images 2021 Access copy available to the general public Unrestricted Painters are masters in replicating the visual appearance of materials.While the perception of material appearance is not yet fully understood, painters seem to have acquired an implicit understanding of the key visual cues that we need to accurately perceive material properties. In this study, we directly compare the perception of material properties in paintings and in renderings by collecting professional realistic paintings of rendered materials. From both type of images, we collect human judgments of material properties and compute a variety of image features that are known to reflect material properties. Our study reveals that, despite important visual differences between the two types of depiction, material properties in paintings and renderings are perceived very similarly and are linked to the same image features. This suggests that we use similar visual cues independently of the medium and that the presence of such cues is sufficient to provide a good appearance perception of the materials. Copyright 2021 The Authors 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/EC/H2020/765121/EU/DyViTo: Dynamics in Vision and Touch - the look and feel of stuff/DyViTo This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 765121-DyViTo info:eu-repo/grantAgreement/EC/H2020/956585/EU/Predictive Rendering In Manufacture and Engineering/PRIME This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 956585-PRIME info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.004 2021 OPHTHALMOLOGY 44 / 62 = 0.71 2021 Q3 T3 0.79 2021 Sensory Systems 2021 Q2 Ophthalmology 2021 Q2 3.2 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Serrano A. Universidad de Zaragoza (orcid)0000-0002-7796-3177 Masia B. Universidad de Zaragoza (orcid)0000-0003-0060-7278 Gutierrez D. Universidad de Zaragoza (orcid)0000-0002-7503-7022 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 21, 5 (2021), 16 [24 pp] J. Vision Journal of Vision 1534-7362 3791542 http://zaguan.unizar.es/record/117338/files/texto_completo.pdf Versión publicada 3162580 http://zaguan.unizar.es/record/117338/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:117338 articulos driver 2023-05-18-15:06:30 ARTICLE