This paper presents a new deep learning architecture called PointGrid that is designed for
3D model recognition from unorganized point clouds. The new architecture embeds the …

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 …

We review the computation of 3D geometric data map**, which establishes one-to-one
correspondence between or among spatial/spatiotemporal objects. Effective map** …

The goal of this paper is to investigate a new shape analysis method based on randomized
cuts of 3D surface meshes. The general strategy is to generate a random set of mesh …

Reverse Engineering (RE) is a long-term goal of engineering and computer science; it aims
at the reconstruction of CAD models from measured data by means of 3D mathematical …

This paper proposes a method to segment a set of models consistently. The method
simultaneously segments models and creates correspondences between segments. First, a …

In this paper, we combine two ideas: persistence-based clustering and the Heat Kernel
Signature (HKS) function to obtain a multi-scale isometry invariant mesh segmentation …

We present a framework for 3D model reconstruction, which has potential applications to a
spectrum of engineering problems with impacts on rapid design and prototy**, shape …

This paper introduces a multi-view recurrent neural network (MV-RNN) approach for 3D
mesh segmentation. Our architecture combines the convolutional neural networks (CNN) …

Color is an efficient feature for object detection as it has the advantage of being invariant to
changes in scaling, rotation, and partial occlusion. Skin color detection is an essential …