As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

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 …

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 …

We review methods designed to compute correspondences between geometric shapes
represented by triangle meshes, contours or point sets. This survey is motivated in part by …

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 this paper, we propose the USIP detector: an Unsupervised Stable Interest Point detector
that can detect highly repeatable and accurately localized keypoints from 3D point clouds …

Abstract 3D object recognition from local features is robust to occlusions and clutter.
However, local features must be extracted from a small set of feature rich keypoints to avoid …

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 …