| dc.contributor.author | Power, Luther | en_US |
| dc.contributor.author | Lau, Manfred | en_US |
| dc.contributor.editor | Cignoni, Paolo and Miguel, Eder | en_US |
| dc.date.accessioned | 2019-05-05T17:49:42Z | |
| dc.date.available | 2019-05-05T17:49:42Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1017-4656 | |
| dc.identifier.uri | https://doi.org/10.2312/egs.20191003 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egs20191003 | |
| dc.description.abstract | The 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.publisher | The Eurographics Association | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Perception | |
| dc.subject | Mesh models | |
| dc.title | Schelling Meshes | en_US |
| dc.description.seriesinformation | Eurographics 2019 - Short Papers | |
| dc.description.sectionheaders | Geometry Processing | |
| dc.identifier.doi | 10.2312/egs.20191003 | |
| dc.identifier.pages | 13-16 | |
