As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to
seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registration …

Point cloud registration (PCR) is a popular research topic in computer vision. Recently, the
registration method in an evolutionary way has received continuous attention because of its …

This paper presents a 3D registration method with maximal cliques (MAC) for 3D point cloud
registration (PCR). The key insight is to loosen the previous maximum clique constraint and …

The modern global navigation satellite system (GNSS) technique is one of the most effective
geoscience and remote sensing tool to observe crustal motions and quantify plate tectonics …

Simultaneous Localization and Map** (SLAM) plays an important role in robot autonomy.
Reliability and efficiency are the two most valued features for applying SLAM in robot …

Point cloud registration plays an important role in 3-D computer vision. Local feature-based
registration as a kind of effective and robust method has two critical steps: descriptor …

This paper proposes an efficient and accurate process to find instances of a specific object
in a point cloud scene where the object is unique, a member of a trained class, and the …