The three-dimensional reconstruction of real objects is an important topic in computer vision.
Most of the acquisition systems are limited to reconstruct a partial view of the object …

The benefits of laser welding include higher production values, deeper penetration, higher
welding speeds, adaptability, and higher power density. These characteristics make laser …

The Iterative Closest Points (ICP) algorithm is the mainstream algorithm used in the process
of accurate registration of 3D point cloud data. The algorithm requires a proper initial value …

We introduce a high-resolution equirectangular panorama (aka 360-degree, virtual reality,
VR) dataset for object detection and propose a multi-projection variant of the YOLO detector …

A method is presented that uses an approximate nearest neighbor method for determining
correspondences within the iterative closest point algorithm. The method is based upon the …

This paper presents an algorithm for full 3D shape reconstruction of indoor and outdoor
environments with mobile robots. Data is acquired with laser range finders installed on a …

The iterative closest point (ICP) algorithm is one of the most popular approaches to shape
registration currently in use. At the core of ICP is the computationally-intensive determination …

The ICP (iterative closest point) algorithm is the de facto standard for geometric alignment of
three-dimensional models when an initial relative pose estimate is available. The basis of …

Global registration is a fundamental task that estimates the relative pose between two
viewpoints of 3D point clouds. However, there are two issues that degrade the performance …

Abstract Traditional Iterative Closest Point (ICP) algorithm registration is slow, especially
when the scale of the point cloud is relatively large. This paper proposes a new algorithm …