In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

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 present a novel approach for 3D dental model segmentation via deep
Convolutional Neural Networks (CNNs). Traditional geometry-based methods tend to …

With the increasing amount of 3D data and the ability of capture devices to produce low-cost
multimedia data, the capability to select relevant information has become an interesting …

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 …

Proof: Suppose two distinct points have equal GPS values. Then their eigenfunctions have
equal value at these points. Thus given any function f, the eigenfunction expansion of f will …

Extraction of curve-skeletons is a fundamental problem with many applications in computer
graphics and visualization. In this paper, we present a simple and robust skeleton extraction …

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 …

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 …