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 …

We present a survey of the most significant techniques, used in the last few years,
concerning the coded structured light methods employed to get 3D information. In fact, depth …

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 …

Recognition of an object from an image or image sequences is an important task in
computer vision. It is an important low-level image processing operation and plays a crucial …

The authors outline their approach for automatic translation of geometric entities produced
by a CAD system into a relational graph structure. They have developed a system which …

We present a summary of the most significant techniques, used in the last few years,
concerning the coded structured light methods employed to get 3D information. In fact, depth …

BONSAI, a model-based 3D object recognition system, is described. It identifies and
localizes 3D objects in range images of one or more parts that have been designed on a …

This paper proposes a technique for 3D object recognition from range data. Our technique
(which was motivated by recent work in geometric hashing) employs precompiled …

We present a complete vision-guided robot system for model-based three-dimensional (3D)
pose estimation and picking of singulated 3D objects. Our system employs a novel vision …

The human visual ability to perceive depth looks like a puzzle. We perceive three-
dimensional spatial information quickly and efficiently by using the binocular stereopsis of …