Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
This study had two main aims:(1) to provide a comprehensive review of terrestrial laser
scanner (TLS) point cloud registration methods and a better understanding of their strengths …
scanner (TLS) point cloud registration methods and a better understanding of their strengths …
Registration of laser scanning point clouds: A review
The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become
important for geospatial data applications. This paper presents a comprehensive review of …
important for geospatial data applications. This paper presents a comprehensive review of …
Pointdsc: Robust point cloud registration using deep spatial consistency
Removing outlier correspondences is one of the critical steps for successful feature-based
point cloud registration. Despite the increasing popularity of introducing deep learning …
point cloud registration. Despite the increasing popularity of introducing deep learning …
Deep global registration
Abstract We present Deep Global Registration, a differentiable framework for pairwise
registration of real-world 3D scans. Deep global registration is based on three modules: a 6 …
registration of real-world 3D scans. Deep global registration is based on three modules: a 6 …
Evolutionary multiform optimization with two-stage bidirectional knowledge transfer strategy for point cloud registration
Point cloud registration is an important task in computer vision, where the goal is to estimate
a transformation to align a pair of point clouds. Most of the existing registration methods face …
a transformation to align a pair of point clouds. Most of the existing registration methods face …
Fast and robust iterative closest point
The iterative closest point (ICP) algorithm and its variants are a fundamental technique for
rigid registration between two point sets, with wide applications in different areas from …
rigid registration between two point sets, with wide applications in different areas from …
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces
Classical deformable registration techniques achieve impressive results and offer a rigorous
theoretical treatment, but are computationally intensive since they solve an optimization …
theoretical treatment, but are computationally intensive since they solve an optimization …
RORNet: Partial-to-partial registration network with reliable overlapping representations
Three-dimensional point cloud registration is an important field in computer vision. Recently,
due to the increasingly complex scenes and incomplete observations, many partial-overlap …
due to the increasingly complex scenes and incomplete observations, many partial-overlap …
Go-ICP: A globally optimal solution to 3D ICP point-set registration
The Iterative Closest Point (ICP) algorithm is one of the most widely used methods for point-
set registration. However, being based on local iterative optimization, ICP is known to be …
set registration. However, being based on local iterative optimization, ICP is known to be …
Deep hough voting for robust global registration
Point cloud registration is the task of estimating the rigid transformation that aligns a pair of
point cloud fragments. We present an efficient and robust framework for pairwise registration …
point cloud fragments. We present an efficient and robust framework for pairwise registration …