Abstract 3D object recognition and pattern recognition are active and fast-growing research
areas in the field of computer vision. It is mandatory to define the pattern class, feature …

3D object recognition in cluttered scenes is a rapidly growing research area. Based on the
used types of features, 3D object recognition methods can broadly be divided into two …

In this paper, we present a systematic literature review concerning 3D object recognition and
classification. We cover articles published between 2006 and 2016 available in three …

We present the Viewpoint Feature Histogram (VFH), a descriptor for 3D point cloud data that
encodes geometry and viewpoint. We demonstrate experimentally on a set of 60 objects …

View-based 3-D object retrieval and recognition has become popular in practice, eg, in
computer aided design. It is difficult to precisely estimate the distance between two objects …

This paper proposes a novel way of characterizing the local geometry of 3D points, using
persistent feature histograms. The relationships between the neighbors of a point are …

Comparing points on 3D shapes is among the fundamental operations in shape analysis. To
facilitate this task, a great number of local point signatures or descriptors have been …

This paper investigates" Schelling points" on 3D meshes, feature points selected by people
in a pure coordination game due to their salience. To collect data for this investigation, we …

This paper presents an algorithm that extracts robust feature descriptors from 2.5 D range
images, in order to provide accurate point-based correspondences between compared …

In view-based 3D object retrieval and recognition, each object is described by multiple
views. A central problem is how to estimate the distance between two objects. Most …