An approach to boundary detection for 3D point clouds based on DBSCAN clustering

Iterative closest point for accurate plane detection in unorganized point clouds

(2021) Cedrique Fotsing et al.   AUTOMATION IN CONSTRUCTION

Seed point set-based building roof extraction from airborne LiDAR point clouds using a top-down strategy

(2021) Jie Shao et al.   AUTOMATION IN CONSTRUCTION

Point Attention Network for Semantic Segmentation of 3D Point Clouds

(2020) Mingtao Feng et al.   PATTERN RECOGNITION

Modeling of Architectural Components for Large-Scale Indoor Spaces From Point Cloud Measurements

(2020) Gahyeon Lim et al.   IEEE Robotics and Automation Letters

A robust statistics approach for plane detection in unorganized point clouds

(2019) Abner M. C. Araújo et al.   PATTERN RECOGNITION

An Optimal Hierarchical Clustering Approach to Mobile LiDAR Point Clouds

(2019) Sheng Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A review of 3D reconstruction techniques in civil engineering and their applications

(2018) Zhiliang Ma et al.   ADVANCED ENGINEERING INFORMATICS

6D DBSCAN-based segmentation of building point clouds for planar object classification

(2018) T. Czerniawski et al.   AUTOMATION IN CONSTRUCTION

Real-time detection of planar regions in unorganized point clouds

(2015) Frederico A. Limberger et al.   PATTERN RECOGNITION

APSCAN: A parameter free algorithm for clustering

(2011) Xiaoming Chen et al.   PATTERN RECOGNITION LETTERS