Three-dimensional shape searching is a problem of current interest in several different
fields. Most techniques have been developed for a particular domain and reduce a shape …

3D registration or matching is a crucial step in 3D model reconstruction. Registration
applications span along a variety of research fields, including computational geometry …

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 …

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 …

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 …

This paper introduces an integrated local surface descriptor for surface representation and
3D object recognition. A local surface descriptor is characterized by its centroid, its local …

In this paper we address the topic of feature extraction in 3D point cloud data for object
recognition and pose identification. We present a novel interest keypoint extraction method …

Human ear is a new class of relatively stable biometrics that has drawn researchers'
attention recently. In this paper, we propose a complete human recognition system using 3D …

This paper presents a highly distinctive local surface feature called the TriSI feature for
recognizing 3D objects in the presence of clutter and occlusion. For a feature point, we first …

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image
Processing is a comprehensive and reliable resource which now provides explanations of …