A fast and effective way to improve the merging accuracy of multi-view point cloud data

Feng Li; Andrew Longstaff; Simon Fletcher; Alan Myers

A fast and effective way to improve the merging accuracy of multi-view point cloud data

Feng Li, Andrew Longstaff, Simon Fletcher, Alan Myers

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In reverse engineering, in order to meet the requirements for model reconstruction, it is often necessary to locate and merge the different-view-measured cloud data in a global coordinate system. Many merging methods have been proposed, the method of three datum points is one of them and the registration precision of model data depends on the precision of three datum points which are selected. This paper introduces a new development of the "centroid of apexes" method instead of the former datum points to improve the three points positioning algorithm, the effectiveness of the methods is validated with experimental results and a revised algorithm is presented.

Original language	English
Title of host publication	Proceedings of 2011 17th International Conference on Automation and Computing
Subtitle of host publication	ICAC 2011
Editors	Wen-hua Chen, Xun Chen, Zhijie Xu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	18-21
Number of pages	4
ISBN (Electronic)	9781862180987
ISBN (Print)	9781467300001
Publication status	Published - 21 Nov 2011
Event	17th International Conference on Automation and Computing - Huddersfield, United Kingdom Duration: 10 Sep 2011 → 10 Sep 2011 Conference number: 17 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=14139&copyownerid=20561 (Link to Event Details) https://www.tib.eu/en/search/id/TIBKAT%3A73636952X/

Conference

Conference	17th International Conference on Automation and Computing
Abbreviated title	ICAC 2011
Country/Territory	United Kingdom
City	Huddersfield
Period	10/09/11 → 10/09/11
Internet address	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=14139&copyownerid=20561 (Link to Event Details) https://www.tib.eu/en/search/id/TIBKAT%3A73636952X/

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Li, F., Longstaff, A., Fletcher, S., & Myers, A. (2011). A fast and effective way to improve the merging accuracy of multi-view point cloud data. In W. Chen, X. Chen, & Z. Xu (Eds.), Proceedings of 2011 17th International Conference on Automation and Computing: ICAC 2011 (pp. 18-21). [6084894] Institute of Electrical and Electronics Engineers Inc.. https://ieeexplore.ieee.org/document/6084894

@inproceedings{b694105389704d908734b503f209c6fa,

title = "A fast and effective way to improve the merging accuracy of multi-view point cloud data",

abstract = "In reverse engineering, in order to meet the requirements for model reconstruction, it is often necessary to locate and merge the different-view-measured cloud data in a global coordinate system. Many merging methods have been proposed, the method of three datum points is one of them and the registration precision of model data depends on the precision of three datum points which are selected. This paper introduces a new development of the {"}centroid of apexes{"} method instead of the former datum points to improve the three points positioning algorithm, the effectiveness of the methods is validated with experimental results and a revised algorithm is presented.",

keywords = "3-D pointsets registration, coordinate transform, points registration, reference marker, reverse engineering",

author = "Feng Li and Andrew Longstaff and Simon Fletcher and Alan Myers",

year = "2011",

month = nov,

day = "21",

language = "English",

isbn = "9781467300001",

pages = "18--21",

editor = "Wen-hua Chen and Xun Chen and Zhijie Xu",

booktitle = "Proceedings of 2011 17th International Conference on Automation and Computing",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "17th International Conference on Automation and Computing, ICAC 2011 ; Conference date: 10-09-2011 Through 10-09-2011",

url = "http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=14139&copyownerid=20561, https://www.tib.eu/en/search/id/TIBKAT%3A73636952X/",

}

Li, F, Longstaff, A , Fletcher, S & Myers, A 2011, A fast and effective way to improve the merging accuracy of multi-view point cloud data. in W Chen, X Chen & Z Xu (eds), Proceedings of 2011 17th International Conference on Automation and Computing: ICAC 2011., 6084894, Institute of Electrical and Electronics Engineers Inc., pp. 18-21, 17th International Conference on Automation and Computing, Huddersfield, United Kingdom, 10/09/11. <https://ieeexplore.ieee.org/document/6084894>

A fast and effective way to improve the merging accuracy of multi-view point cloud data. / Li, Feng; Longstaff, Andrew ; Fletcher, Simon et al.

Proceedings of 2011 17th International Conference on Automation and Computing: ICAC 2011. ed. / Wen-hua Chen; Xun Chen; Zhijie Xu. Institute of Electrical and Electronics Engineers Inc., 2011. p. 18-21 6084894.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A fast and effective way to improve the merging accuracy of multi-view point cloud data

AU - Li, Feng

AU - Longstaff, Andrew

AU - Fletcher, Simon

AU - Myers, Alan

N1 - Conference code: 17

PY - 2011/11/21

Y1 - 2011/11/21

N2 - In reverse engineering, in order to meet the requirements for model reconstruction, it is often necessary to locate and merge the different-view-measured cloud data in a global coordinate system. Many merging methods have been proposed, the method of three datum points is one of them and the registration precision of model data depends on the precision of three datum points which are selected. This paper introduces a new development of the "centroid of apexes" method instead of the former datum points to improve the three points positioning algorithm, the effectiveness of the methods is validated with experimental results and a revised algorithm is presented.

AB - In reverse engineering, in order to meet the requirements for model reconstruction, it is often necessary to locate and merge the different-view-measured cloud data in a global coordinate system. Many merging methods have been proposed, the method of three datum points is one of them and the registration precision of model data depends on the precision of three datum points which are selected. This paper introduces a new development of the "centroid of apexes" method instead of the former datum points to improve the three points positioning algorithm, the effectiveness of the methods is validated with experimental results and a revised algorithm is presented.

KW - 3-D pointsets registration

KW - coordinate transform

KW - points registration

KW - reference marker

KW - reverse engineering

UR - http://www.scopus.com/inward/record.url?scp=83455195181&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:83455195181

SN - 9781467300001

SP - 18

EP - 21

BT - Proceedings of 2011 17th International Conference on Automation and Computing

A2 - Chen, Wen-hua

A2 - Chen, Xun

A2 - Xu, Zhijie

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Automation and Computing

Y2 - 10 September 2011 through 10 September 2011

ER -

A fast and effective way to improve the merging accuracy of multi-view point cloud data

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