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 …

The emerging topic of cross-source point cloud (CSPC) registration has attracted increasing
attention with the fast development background of 3D sensor technologies. Different from the …

Registration of unmanned aerial vehicle laser scanning (ULS) and ground light detection
and ranging (LiDAR) point clouds in forests is critical to create a detailed representation of a …

Registration is a ubiquitous operation in Visual Computing, with applications in 3D object
retrieval among others. Registration is the process of overlaying two or more datasets taken …

We propose a systematic approach for registering cross-source point clouds that come from
different kinds of sensors. This task is especially challenging due to the presence of …

Real point cloud registration, involving homologous and cross-source 3D data, poses
significant challenges such as partial overlap, high noise, density disparities, and scale …

In recent years, Convolutional Neural Networks (CNN) have proven to be efficient analysis
tools for processing point clouds, eg, for reconstruction, segmentation, and classification. In …

The problem of the restoration of broken artifacts, where large parts could be missing, is of
high importance in archaeology. The typical manual restoration can become a tedious and …

We propose an efficient method to deal with the matching and registration problem found in
cross-source point clouds captured by different types of sensors. This task is especially …

Point cloud registration is a fundamental problem for large-scale 3D scene scanning and
reconstruction. With the help of deep learning, registration methods have evolved …