Publication:
ORIENTATION-BASED PAIRWISE COARSE REGISTRATION with MARKERLESS TERRESTRIAL LASER SCANS

cris.author.scopus-author-id 57208861864
cris.author.scopus-author-id 57214325384
cris.author.scopus-author-id 36901996000
cris.author.scopus-author-id 35092880700
cris.author.scopus-author-id 57221930915
cris.author.scopus-author-id 36560557700
cris.author.scopus-author-id 26029734700
cris.author.scopus-author-id 57210012369
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 40b3dfab-8e20-4def-9835-2a94ffbdd523
dc.contributor.author Mohd Isa S.N.
dc.contributor.author Shazmin Aniza Abdul Shukor
dc.contributor.author Rahim N.A.
dc.contributor.author Maarof I.
dc.contributor.author Yahya Z.R.
dc.contributor.author Zakaria A.
dc.contributor.author Abdullah A.H.
dc.contributor.author Wong R.
dc.date.accessioned 2024-12-11T07:55:38Z
dc.date.available 2024-12-11T07:55:38Z
dc.date.issued 2019-10-01
dc.description.abstract 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.
dc.identifier.doi 10.5194/isprs-archives-XLII-4-W16-425-2019
dc.identifier.scopus 2-s2.0-85083190012
dc.identifier.uri https://hdl.handle.net/20.500.14170/10106
dc.relation.funding Ministry of Higher Education, Malaysia
dc.relation.grantno undefined
dc.relation.ispartof International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.relation.issn 16821750
dc.rights open access
dc.subject 3d keypoints | heritage building | keypoint extraction | pairwise registration | point cloud | terrestrial laser scanner
dc.title ORIENTATION-BASED PAIRWISE COARSE REGISTRATION with MARKERLESS TERRESTRIAL LASER SCANS
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.endPage 432
oaire.citation.issue 4/W16
oaire.citation.startPage 425
oaire.citation.volume 42
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Faculty of Architecture, Planning and Surveying
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Geodelta Systems Sdn. Bhd.
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.scopus-author-id 57208861864
person.identifier.scopus-author-id 57214325384
person.identifier.scopus-author-id 36901996000
person.identifier.scopus-author-id 35092880700
person.identifier.scopus-author-id 57221930915
person.identifier.scopus-author-id 36560557700
person.identifier.scopus-author-id 26029734700
person.identifier.scopus-author-id 57210012369
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Research repository notification.pdf
Size:
4.4 MB
Format:
Adobe Portable Document Format
Description: