We present PartNet: a consistent, large-scale dataset of 3D objects annotated with fine-
grained, instance-level, and hierarchical 3D part information. Our dataset consists of …

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 …

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 …

The tremendous improvements in data capturing technologies and in the related processing
methodologies are opening more and more possibilities in different fields of applications. In …

Fine-grained 3D shape classification is important for shape understanding and analysis,
which poses a challenging research problem. However, the studies on the fine-grained 3D …

This paper presents a 3D‐mesh segmentation algorithm based on a learning approach. A
large database of manually segmented 3D‐meshes is used to learn a boundary edge …

One of the most significant consequences of the introduction of digital 3D modeling in the
Cultural Heritage field is the possibility to use 3D models as highly effective and intuitive …

A fully automatic mesh segmentation scheme using heterogeneous graphs is presented. We
introduce a spectral framework where local geometry affinities are coupled with surface …

In this paper, we present an extensive experimental comparison of existing similarity metrics
addressing the quality assessment problem of mesh segmentation. We introduce a new …

Current point cloud processing algorithms do not have the capability to automatically extract
semantic information from the observed scenes, except in very specialized cases …