Supervoxels have a widespread application of instance segmentation on account of the
merit of providing a highly approximate representation with fewer data. However, low …

For the three‐dimensional (3D) pose estimation of metal blank casts estimate in industrial
production process, a novel 6‐degree‐of‐freedom (6DOF) positioning and grasping …

The paper is concerned with the problem of multi-view three-dimensional (3D) point cloud
registration. A novel global registration method is proposed to accurately register two series …

In industrial environments, cameras are heavily influenced by light and perspectives, making
traditional vision-based parallel robots struggle with object-sorting tasks. Two-dimensional …

Segmenting small-scale and close 3-D objects from a complicated 3-D point cloud scene is
a crucial yet challenging task for industrial scene understanding. Previous 3-D instance …

With the development of three-dimensional (3D) point cloud acquisition technologies,
supervoxels have become increasingly important, as they provide compact and uniform …

As a basic and important research, point cloud segmentation plays an important role in
many fields. However, the traditional point cloud segmentation algorithm still suffers from two …

Supervoxels find applications as a pre-processing step in many image processing problems
due to their ability to present a regional representation of points by correlating them into a …

It is the key step of the classification and recognition to segment 3D point cloud. Aiming at
the shortcomings of super-voxels concavo-convex segmentation algorithm for 3D point …

Instance segmentation is an important pre-processing task in numerous real-world
applications, such as robotics, autonomous vehicles, and human–computer interaction …