Computer vision technology is moving more and more towards a three-dimensional
approach, and plant phenotyping is following this trend. However, despite its potential, the …

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 …

In this paper, we study the problem of semantic annotation on 3D models that are
represented as shape graphs. A functional view is taken to represent localized information …

Spectral clustering algorithms have been shown to be more effective in finding clusters than
some traditional algorithms, such as k-means. However, spectral clustering suffers from a …

This paper describes a benchmark for evaluation of 3D mesh segmentation salgorithms. The
benchmark comprises a data set with 4,300 manually generated segmentations for 380 …

This paper presents a data-driven approach to simultaneous segmentation and labeling of
parts in 3D meshes. An objective function is formulated as a Conditional Random Field …

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 review of the state of the art of segmentation and partitioning techniques of
boundary meshes. Recently, these have become a part of many mesh and object …

Most attempts to represent 3D shapes for deep learning have focused on volumetric grids,
multi-view images and point clouds. In this paper we look at the most popular representation …

Given a shape, a skeleton is a thin centered structure which jointly describes the topology
and the geometry of the shape. Skeletons provide an alternative to classical boundary or …