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dc.contributor.authorGigilashvili, Davit
dc.contributor.authorThomas, Jean-Baptiste
dc.contributor.authorPedersen, Marius
dc.contributor.authorHardeberg, Jon Yngve
dc.date.accessioned2019-11-29T13:40:28Z
dc.date.available2019-11-29T13:40:28Z
dc.date.created2019-10-03T08:41:46Z
dc.date.issued2019
dc.identifier.citationIS&T International Symposium on Electronic Imaging Science and Technology. 2019, 202-1-202-7.nb_NO
dc.identifier.issn2470-1173
dc.identifier.urihttp://hdl.handle.net/11250/2631116
dc.description.abstractAppearance is a complex psychovisual phenomenon impacted by various objective and subjective factors that are not yet fully understood. In this work we use real objects and unconstrained conditions to study appearance perception in human subjects, allowing free interaction between objects and observers. Human observers were asked to describe resin objects from an artwork collection and to complete two visual tasks of appearance-based clustering and ordering. The process was filmed for subsequent analysis with the consent of the observers. While clustering task helps us identify attributes people use to assess appearance similarity and difference, the ordering task is used to identify potential cues to create an appearance ordering system. Finally, we generate research hypotheses about how people perceive appearance and outline future studies to validate them. Preliminary observations revealed interesting cross-individual consistency in appearance assessment, while personal background of the observer might be affecting deviation from the general appearance assessment trends. On the other hand, no appearance ordering system stood out from the rest that might be explained with the sparse sampling of our dataset.nb_NO
dc.language.isoengnb_NO
dc.publisherSociety for Imaging Science and Technologynb_NO
dc.titleMaterial Appearance: Ordering and Clusteringnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber202-1-202-7nb_NO
dc.source.journalIS&T International Symposium on Electronic Imaging Science and Technologynb_NO
dc.identifier.doi10.2352/ISSN.2470-1173.2019.6.MAAP-202
dc.identifier.cristin1733283
dc.relation.projectNorges forskningsråd: 250293nb_NO
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2019 by Society for Imaging Science and Technologynb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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