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 …
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
MULLS: Versatile LiDAR SLAM via multi-metric linear least square
The rapid development of autonomous driving and mobile mapping calls for off-the-shelf
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …
LiDAR SLAM solutions that are adaptive to LiDARs of different specifications on various …
[HTML][HTML] Point cloud registration for LiDAR and photogrammetric data: A critical synthesis and performance analysis on classic and deep learning algorithms
Abstract Three-dimensional (3D) point cloud registration is a fundamental step for many 3D
modeling and mapping applications. Existing approaches are highly disparate in the data …
modeling and mapping applications. Existing approaches are highly disparate in the data …
QGORE: Quadratic-time guaranteed outlier removal for point cloud registration
With the development of 3D matching technology, correspondence-based point cloud
registration gains more attention. Unfortunately, 3D keypoint techniques inevitably produce …
registration gains more attention. Unfortunately, 3D keypoint techniques inevitably produce …
Point cloud registration based on one-point ransac and scale-annealing biweight estimation
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 …
whose goal is to seek a seven-parameter similarity transformation to register a pair of point …
Toward building and civil infrastructure reconstruction from point clouds: A review on data and key techniques
Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …
Automatic coarse registration of point clouds using plane contour shape descriptor and topological graph voting
Registration is a basic yet crucial task in point cloud processing. Obtaining robust as well as
accurate features and correspondences is critical to feature-based point cloud registration …
accurate features and correspondences is critical to feature-based point cloud registration …
GESAC: Robust graph enhanced sample consensus for point cloud registration
Pairwise point cloud registration (PCR) is a crucial problem in photogrammetry, which aims
to find a rigid transformation that registers a pair of point clouds. Typically, PCR is performed …
to find a rigid transformation that registers a pair of point clouds. Typically, PCR is performed …
Scalable 3d registration via truncated entry-wise absolute residuals
Given an input set of 3D point pairs the goal of outlier-robust 3D registration is to compute
some rotation and translation that align as many point pairs as possible. This is an important …
some rotation and translation that align as many point pairs as possible. This is an important …