Point Cloud Data Segmentation Using RANSAC and Localization

Point Cloud Data Segmentation Using RANSAC and Localization

In this paper, we present 3D point cloud data segmentation from a Terrestrial Laser Scanner (TLS) using RANSAC and localization approaches. Our work is using the real world data acquired from outdoor and indoor scene of Tawau Bell Tower (also known as the Belfry), one of the heritage building locate...

Full description

Bibliographic Details
Main Authors: Abdul Shukor, S.A (Author), Abdullah, A.H (Author), Adom A.H (Author), Kamaruddin K. (Author), Kheng E.S (Author), Kiang L.C (Author), Maarof, I. (Author), Mohd Isa, S.N (Author), Rahim N.A (Author), Rahim, N.A (Author), Wong, R. (Author), Yahya, Z.R (Author), Zakaria, A. (Author)
Format: Article
Language:English
Published: IOP Publishing Ltd 2019
Subjects:
Bells
Building structure
Data reduction
Geometrical constraints
Heritage buildings
Image segmentation
Interactive computer systems
Machinery
Man machine systems
Point cloud data
Processing time
RANSAC algorithm
Region of interest
Surveying instruments
Terrestrial laser scanners
Towers
Trees (mathematics)
Online Access:View Fulltext in Publisher
View in Scopus

Internet

View Fulltext in Publisher
View in Scopus

Similar Items