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 …

Abstract 3D mesh segmentation has become a crucial part of many applications in 3D shape
analysis. In this paper, a comprehensive survey on 3D mesh segmentation methods is …

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 …

Abstract Formulations of the Image Decomposition Problem as a Multicut Problem (MP) wrt a
superpixel graph have received considerable attention. In contrast, instances of the MP wrt a …

Three-dimensional surface defect inspection remains a challenging task. This paper
describes a novel automatic vision-based inspection system that is capable of detecting and …

Data-driven methods serve an increasingly important role in discovering geometric,
structural, and semantic relationships between shapes. In contrast to traditional approaches …

We propose a fast method for 3D shape segmentation and labeling via Extreme Learning
Machine (ELM). Given a set of example shapes with labeled segmentation, we train an ELM …

Automatic segmentation of 3D tooth models into individual teeth is an important step in
orthodontic CAD systems. 3D tooth segmentation is a mesh instance segmentation task …

Tooth segmentation has an important role in computer-aided orthodontics. However, fine
segmentation results remain difficult to obtain because of various tooth shapes, complex …

There is an increasing interest in applying deep learning to 3D mesh segmentation. We
observe that 1) existing feature-based techniques are often slow or sensitive to feature …