Show citation formats
Export, share and cite
Information on "Open Access" Access
There is an Open Access version for this licensed article that can be read free of charge and without license restrictions. The content of the Open Access version may differ from that of the licensed version.
Please choose your delivery country and your customer group
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.