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.


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    Title :

    Schelling Meshes


    Contributors:

    Publication date :

    2019


    Size :

    4 pages


    Remarks:

    Eurographics 2019 - Short Papers




    Type of media :

    Miscellaneous


    Type of material :

    Electronic Resource


    Language :

    Unknown




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