Previous research has suggested a relationship between dissociative tendencies and schizotypy. This study sought to extend the previous work in two fundamental respects. First, explicit cognizance was taken of the multidimensionality of both dissociative tendencies and schizotypy. Second, the study examined the possibility that the observed correlation between dissociative tendencies and schizo...

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3D geometric contents are becoming increasingly popular. In this paper, we study the problem of analyzing deforming 3D meshes using deep neural networks. Deforming 3D meshes are flexible to represent 3D animation sequences as well as collections of objects of the same category, allowing diverse shapes with large-scale non-linear deformations. We propose a novel framework which we call mesh vari...

Techniques for deforming polygonal meshes are demonstrated by using two-dimensional lattices of control points or functions for pasting features. The deformations use a shape-preserving parametrization that embeds the mesh’s vertices in a normalized two-dimensional space while preserving shape consistency for non-flat surfaces. A discrete smoothing used for the parametrization has inefficient i...

A sampled object representation (SOR) defines a graphical model using data obtained from a sampling process, which takes a collection of samples at discrete positions in space in order to capture certain geometrical and physical properties of one or more objects of interest. Examples of SORs include images, videos, volume datasets and point datasets. Unlike many commonly used data representatio...

Techniques for deforming polygonal meshes are demonstrated by using two-dimensional lattices of control points or functions for pasting features. The deformations use a shape-preserving parametrization that embeds the mesh’s vertices in a normalized two-dimensional space while preserving shape consistency for non-flat surfaces. A discrete smoothing used for the parametrization has inefficient i...