Orientation-based pairwise coarse registration with markerless terrestrial laser scans

Link to publisher's homepage at https://www.isprs.org/publications/archives.aspx

Saved in:
Bibliographic Details
Main Authors: Siti Nurhashima, Mohd Isa, Shazmin Aniza, Abdul Shukor, I., Maarof, Zainor Ridzuan, Yahya, Norasmadi, Abdul Rahim, Ammar, Zakaria, A. H., Abdullah, R., Wong
Other Authors: sitinurhashima.isa@gmail.com
Format: Article
Language:English
Published: Copernicus Publications 2020
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68469
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-68469
record_format dspace
spelling my.unimap-684692020-10-20T00:33:39Z Orientation-based pairwise coarse registration with markerless terrestrial laser scans Siti Nurhashima, Mohd Isa Shazmin Aniza, Abdul Shukor I., Maarof Zainor Ridzuan, Yahya Norasmadi, Abdul Rahim Ammar, Zakaria A. H., Abdullah R., Wong sitinurhashima.isa@gmail.com shazmin@unimap.edu.my Point cloud Terrestrial Laser Scanner Pairwise Registration 3D Keypoints Heritage building Keypoint extraction Link to publisher's homepage at https://www.isprs.org/publications/archives.aspx In this paper, pairwise coarse registration is presented using real world point cloud data obtained by terrestrial laser scanner and without information on reference marker on the scene. The challenge in the data is because of multi-scanning which caused large data size in millions of points due to limited range about the scene generated from side view. Furthermore, the data have a low percentage of overlapping between two scans, and the point cloud data were acquired from structures with geometrical symmetry which leads to minimal transformation during registration process. To process the data, 3D Harris keypoint is used and coarse registration is done by Iterative Closest Point (ICP). Different sampling methods were applied in order to evaluate processing time for further analysis on different voxel grid size. Then, Root Means Squared Error (RMSE) is used to determine the accuracy of the approach and to study its relation to relative orientation of scan by pairwise registration. The results show that the grid average downsampling method gives shorter processing time with reasonable RMSE in finding the exact scan pair. It can also be seen that grid step size is having an inverse relationship with downsampling points. This setting is used to test on smaller overlapping data set of other heritage building. Evaluation on relative orientation is studied from transformation parameter for both data set, where Data set I, which higher overlapping data gives better accuracy which may be due to the small distance between the two point clouds compared to Data set II. 2020-10-20T00:32:33Z 2020-10-20T00:32:33Z 2019 Article The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4-W16, 2019, pages 425-432 1682-1750 (Print) 2194-9034 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68469 https://www.isprs.org/publications/archives.aspx https://doi.org/10.5194/isprs-archives-XLII-4-W16-425-2019 en Copernicus Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Point cloud
Terrestrial Laser Scanner
Pairwise Registration
3D Keypoints
Heritage building
Keypoint extraction
spellingShingle Point cloud
Terrestrial Laser Scanner
Pairwise Registration
3D Keypoints
Heritage building
Keypoint extraction
Siti Nurhashima, Mohd Isa
Shazmin Aniza, Abdul Shukor
I., Maarof
Zainor Ridzuan, Yahya
Norasmadi, Abdul Rahim
Ammar, Zakaria
A. H., Abdullah
R., Wong
Orientation-based pairwise coarse registration with markerless terrestrial laser scans
description Link to publisher's homepage at https://www.isprs.org/publications/archives.aspx
author2 sitinurhashima.isa@gmail.com
author_facet sitinurhashima.isa@gmail.com
Siti Nurhashima, Mohd Isa
Shazmin Aniza, Abdul Shukor
I., Maarof
Zainor Ridzuan, Yahya
Norasmadi, Abdul Rahim
Ammar, Zakaria
A. H., Abdullah
R., Wong
format Article
author Siti Nurhashima, Mohd Isa
Shazmin Aniza, Abdul Shukor
I., Maarof
Zainor Ridzuan, Yahya
Norasmadi, Abdul Rahim
Ammar, Zakaria
A. H., Abdullah
R., Wong
author_sort Siti Nurhashima, Mohd Isa
title Orientation-based pairwise coarse registration with markerless terrestrial laser scans
title_short Orientation-based pairwise coarse registration with markerless terrestrial laser scans
title_full Orientation-based pairwise coarse registration with markerless terrestrial laser scans
title_fullStr Orientation-based pairwise coarse registration with markerless terrestrial laser scans
title_full_unstemmed Orientation-based pairwise coarse registration with markerless terrestrial laser scans
title_sort orientation-based pairwise coarse registration with markerless terrestrial laser scans
publisher Copernicus Publications
publishDate 2020
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68469
_version_ 1698698464877084672