This paper surveys mesh segmentation techniques and algorithms, with a focus on part‐
based segmentation, that is, segmentation that divides a mesh (featuring a 3D object) into …

Recurrent neural networks (RNNs) with Long Short-Term memory cells currently hold the
best known results in unconstrained handwriting recognition. We show that their …

Mesh partitioning and skeletonisation are fundamental for many computer graphics and
animation techniques. Because of the close link between an object's skeleton and its …

We present a method for extracting a hierarchical, rigid skeleton from a set of example
poses. We then use this skeleton to not only reproduce the example poses, but create new …

This book is adapted from my habilitation thesis manuscript, which reviewed my research
work since my Ph. D. thesis defense (2008), as a postdoctoral researcher at the University of …

A curve skeleton is a compact representation of 3D objects and has numerous applications.
It can be used to describe an object's geometry and topology. In this paper, we introduce a …

Parametric shapes model objects as programs producing a geometry based on a few
semantic degrees of freedom, called hyper-parameters. These shapes are the typical output …

Current approaches to skeleton generation are based on topological and geometrical
information only; this can be insufficient for realistic character animation, since the location of …

The concept of self-awareness has become a hot research topic in a variety of disciplines
such as robotics, artificial intelligence, control theory, networked systems, and so on. Its …

In this paper, we propose to address the semantic-oriented 3D mesh hierarchical
segmentation problem, using enhanced topological skeletons. This high level information …