TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY

TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY

A simple extension method of the ICP algorithm using point quality based on the distance and incident angle is presented for improving the registration accuracy of TLS point clouds. First, using a structured point cloud representation, the distance and incident angle of each point are calculated. Th...

Full description

Bibliographic Details
Main Authors: H. Date, E. Wakisaka, Y. Moribe, S. Kanai
Format: Article
Language:English
Published: Copernicus Publications 2019-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/963/2019/isprs-archives-XLII-2-W13-963-2019.pdf
id doaj-b1e4b6bb254349bf880bb5084d18b4dd
record_format Article
spelling doaj-b1e4b6bb254349bf880bb5084d18b4dd2020-11-24T20:52:29ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-06-01XLII-2-W1396396810.5194/isprs-archives-XLII-2-W13-963-2019TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITYH. Date0E. Wakisaka1Y. Moribe2S. Kanai3Graduate School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, JapanShinryo Corporation, Tsukuba, JapanSanki Engineering Corporation, Kitakyusyu, JapanGraduate School of Information Science and Technology, Hokkaido University, 060-0814 Sapporo, JapanA simple extension method of the ICP algorithm using point quality based on the distance and incident angle is presented for improving the registration accuracy of TLS point clouds. First, using a structured point cloud representation, the distance and incident angle of each point are calculated. Then, quality measures for the distance and incident angle are defined, considering the relationship between them and the scanning errors. Finally, an extension method of the ICP algorithm by the weighting using the estimated point qualities is described. A method for efficient matching using point properties is also introduced. The proposed method is applied to two datasets of TLS point clouds of a small plant and an outdoor environment, and the effectiveness is evaluated by comparing registration errors with the ground truths obtained using the scan target and a total station.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/963/2019/isprs-archives-XLII-2-W13-963-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author H. Date
E. Wakisaka
Y. Moribe
S. Kanai
spellingShingle H. Date
E. Wakisaka
Y. Moribe
S. Kanai
TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet H. Date
E. Wakisaka
Y. Moribe
S. Kanai
author_sort H. Date
title TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY
title_short TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY
title_full TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY
title_fullStr TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY
title_full_unstemmed TLS POINT CLOUD REGISTRATION BASED ON ICP ALGORITHM USING POINT QUALITY
title_sort tls point cloud registration based on icp algorithm using point quality
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2019-06-01
description A simple extension method of the ICP algorithm using point quality based on the distance and incident angle is presented for improving the registration accuracy of TLS point clouds. First, using a structured point cloud representation, the distance and incident angle of each point are calculated. Then, quality measures for the distance and incident angle are defined, considering the relationship between them and the scanning errors. Finally, an extension method of the ICP algorithm by the weighting using the estimated point qualities is described. A method for efficient matching using point properties is also introduced. The proposed method is applied to two datasets of TLS point clouds of a small plant and an outdoor environment, and the effectiveness is evaluated by comparing registration errors with the ground truths obtained using the scan target and a total station.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/963/2019/isprs-archives-XLII-2-W13-963-2019.pdf
work_keys_str_mv AT hdate tlspointcloudregistrationbasedonicpalgorithmusingpointquality
AT ewakisaka tlspointcloudregistrationbasedonicpalgorithmusingpointquality
AT ymoribe tlspointcloudregistrationbasedonicpalgorithmusingpointquality
AT skanai tlspointcloudregistrationbasedonicpalgorithmusingpointquality
_version_ 1716799495952400384

Similar Items