Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

This paper presents a local 3D descriptor for surface matching dubbed SHOT. Our proposal
stems from a taxonomy of existing methods which highlights two major approaches, referred …

A number of 3D local feature descriptors have been proposed in the literature. It is however,
unclear which descriptors are more appropriate for a particular application. A good …

Ceramics analysis, classification, and reconstruction are essential to know an
archaeological site's history, economy, and art. Traditional methods used by the …

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 …

Recognizing 3D objects in the presence of noise, varying mesh resolution, occlusion and
clutter is a very challenging task. This paper presents a novel method named Rotational …

This paper proposes a novel local feature descriptor, called a local feature statistics
histogram (LFSH), for efficient 3D point cloud registration. An LFSH forms a comprehensive …

Abstract 3D local surface description is now at the core of many computer vision
technologies, such as 3D object recognition, intelligent driving, and 3D model …

Registration algorithms performed on point clouds or range images of face scans have been
successfully used for automatic 3D face recognition under expression variations, but have …

In this paper, we present a robust global approach for point cloud registration from uniformly
sampled points. Based on eigenvalues and normals computed from multiple scales, we …