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 …

Abstract 3D object recognition from point clouds is considered as a field of research that is
growing fast. Based on the types of features used to represent an object, 3D object …

Abstract 3D object recognition techniques based on local surface features are widely used
for robust recognition. This paper proposes a 3D object recognition technique named 3DU …

Recognition methods for 3D objects, which depend on local features, play a key role in
ensuring robust recognition. Moreover, training-free approaches that require only a sample …

In this paper, a new object recognition algorithm employing a curvature-based histogram is
presented. Recognition of three-dimensional (3-D) objects using range images remains one …

Local surface feature based 3D object recognition is a rapidly growing research field. In time-
critical applications such as robotics, training free recognition techniques are always the first …

With the information from labeled RGB image an unsupervised method based on label
transfer technology is proposed for 3D object recognition and segmentation in RGB-D …

Robots are used today in many different fields and for many different tasks. However, they
quickly reach their limits without a" sense of sight," especially when working directly with …

This paper presents a local surface feature based 3D object recognition technique that is
free from any training and handles texture-less objects. Our technique is proposed based on …