This paper introduces a new DBSCAN-based method for boundary detection and plane
segmentation for 3D point clouds. The proposed method is based on candidate samples …

This paper proposes an effective measure for the planar segmentation problem based on
the clustering method. It uses the distance from a point to the local plane as a metric to …

Prefabricated construction has gained increasing popularity to meet the needs of rapid city
development in recent years. Installation quality check is a critical task in prefabricated …

Gaussian process (GP) implicit surface models provide environment and object
representations which elegantly address noise and uncertainty while remaining sufficiently …

This article describes an approach for extracting multiple planar regions in 3-D point clouds
from spinning multibeam LiDARs. This technique benefits from the intrinsic structure of …

Urban scene modeling is a challenging but essential task for various applications, such as
3D map generation, city digitization, and AR/VR/metaverse applications. To model man …

Flat surfaces captured by 3D point clouds are often used for localization, mapping, and
modeling. Dense point cloud processing has high computation and memory costs making …

We present a novel region growing algorithm for plane extraction of organized point clouds
using the spherical convex hull. Instead of explicit plane parameterization, our approach …

Uncertainty quantification and state estimation of random variables in directional domains
play important roles in ubiquitous application scenarios, in particular, robotic perception …

This letter presents Polylidar, an efficient algorithm to extract non-convex polygons from 2D
point sets, including interior holes. Plane segmented point clouds can be input into Polylidar …