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 …

To execute collaborative tasks in unknown environments, a robotic swarm must establish a
global reference frame and locate itself in a shared understanding of the environment …

The upsurge of autonomous vehicles in the automobile industry will lead to better driving
experiences while also enabling the users to solve challenging navigation problems …

The development of inexpensive 3D data acquisition devices has promisingly facilitated the
wide availability and popularity of point clouds, which attracts increasing attention to the …

Three-dimensional feature descriptors play an important role in 3D computer vision because
they are widely employed in many 3D perception applications to extract point …

Object recognition in real-world environments is one of the fundamental and key tasks in
computer vision and robotics communities. With the advanced sensing technologies and low …

Spatial relationship between objects in an image can help to gain a deep understanding of
the image. At present, spatial relationship recognition has received more and more …

The introduction of inexpensive 3D data acquisition devices has promisingly facilitated the
wide availability and popularity of 3D point cloud, which attracts more attention to the …

Designing local feature descriptors for 3D objects is a fundamental yet challenging task in
3D computer vision. Both geometry and spatial information descriptions are critical for a 3D …

Despite the recent success of state-of-the-art 3D object recognition approaches, service
robots still frequently fail to recognize many objects in real human-centric environments. For …