Registration is a transformation estimation problem between two point clouds, which has a
unique and critical role in numerous computer vision applications. The developments of …

This paper presents a comprehensive literature review on point set registration. The state-of-
the-art modeling methods and algorithms for point set registration are discussed and …

We present an algorithm for tightly aligning two colored point clouds. The key idea is to
optimize a joint photometric and geometric objective that locks the alignment along both the …

Point cloud registration is a critical task in many 3-D computer vision studies, aiming to find a
rigid transformation that aligns one point cloud with another. In this article, we propose a …

Point cloud registration (PCR) is an important task in photogrammetry and remote sensing,
whose goal is to seek a seven-parameter similarity transformation to register a pair of point …

Probabilistic point-set registration methods have been gaining more attention for their
robustness to noise, outliers and occlusions. However, these methods tend to be much …

Multi-view point cloud registration is fundamental in 3D reconstruction. Since there are close
connections between point clouds captured from different viewpoints, registration …

Point cloud registration sits at the core of many important and challenging 3D perception
problems including autonomous navigation, SLAM, object/scene recognition, and …

This paper addresses the problem of registering multiple point sets. Solutions to this
problem are often approximated by repeatedly solving for pairwise registration, which results …

The increasing availability of point cloud acquisition techniques makes it possible to
significantly increase 3D observation capacity by the registration of multi-sensor, multi …