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 …

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 …

Three-dimensional surface registration transforms multiple three-dimensional data sets into
the same coordinate system so as to align overlap** components of these sets. Recent …

We introduce the Wave Kernel Signature (WKS) for characterizing points on non-rigid three-
dimensional shapes. The WKS represents the average probability of measuring a quantum …

With the increasing amount of 3D data and the ability of capture devices to produce low-cost
multimedia data, the capability to select relevant information has become an interesting …

The computer vision and pattern recognition communities have recently witnessed a surge
of feature-based methods in object recognition and image retrieval applications. These …

In the past few years detection of repeatable and distinctive keypoints on 3D surfaces has
been the focus of intense research activity, due on the one hand to the increasing diffusion …

A common operation in many geometry processing algorithms consists of finding
correspondences between pairs of shapes by finding structure‐preserving maps between …