Show simple item record

dc.contributor.authorPower, Lutheren_US
dc.contributor.authorLau, Manfreden_US
dc.contributor.editorCignoni, Paolo and Miguel, Ederen_US
dc.date.accessioned2019-05-05T17:49:42Z
dc.date.available2019-05-05T17:49:42Z
dc.date.issued2019
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egs.20191003
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egs20191003
dc.description.abstractThe concept of ''Schelling points'' on 3D shapes has been explored for points on the surface of a 3D mesh. In this paper, we introduce the notion of ''Schelling meshes'' which extends the Schelling concept to 3D meshes as a whole themselves. We collect Schelling-based data for meshes where participants are given a group of shapes and asked to choose those with the aim of matching with what they expect others to choose. We analyze the data by computing the Schelling frequency of each shape and characterizing the qualitative features that make a shape ''Schelling''. We show that the Schelling frequencies can be learned and demonstrate Schelling-guided shape applications.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectPerception
dc.subjectMesh models
dc.titleSchelling Meshesen_US
dc.description.seriesinformationEurographics 2019 - Short Papers
dc.description.sectionheadersGeometry Processing
dc.identifier.doi10.2312/egs.20191003
dc.identifier.pages13-16


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record