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 proceedingConference contribution

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 languageEnglish
Title of host publicationProceedings of 2011 17th International Conference on Automation and Computing
Subtitle of host publicationICAC 2011
EditorsWen-hua Chen, Xun Chen, Zhijie Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages18-21
Number of pages4
ISBN (Electronic)9781862180987
ISBN (Print)9781467300001
Publication statusPublished - 21 Nov 2011
Event17th International Conference on Automation and Computing - Huddersfield, United Kingdom
Duration: 10 Sep 201110 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

Conference17th International Conference on Automation and Computing
Abbreviated titleICAC 2011
CountryUnited Kingdom
CityHuddersfield
Period10/09/1110/09/11
Internet address

Fingerprint

Merging
Reverse engineering

Cite this

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..
Li, Feng ; Longstaff, Andrew ; Fletcher, Simon ; Myers, Alan. / A fast and effective way to improve the merging accuracy of multi-view point cloud data. Proceedings of 2011 17th International Conference on Automation and Computing: ICAC 2011. editor / Wen-hua Chen ; Xun Chen ; Zhijie Xu. Institute of Electrical and Electronics Engineers Inc., 2011. pp. 18-21
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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",
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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., 6084894, Institute of Electrical and Electronics Engineers Inc., pp. 18-21, 17th International Conference on Automation and Computing, Huddersfield, United Kingdom, 10/09/11.

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

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 proceedingConference contribution

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AU - Myers, Alan

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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.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Li F, Longstaff A, Fletcher S, Myers A. A fast and effective way to improve the merging accuracy of multi-view point cloud data. In Chen W, Chen X, Xu Z, editors, Proceedings of 2011 17th International Conference on Automation and Computing: ICAC 2011. Institute of Electrical and Electronics Engineers Inc. 2011. p. 18-21. 6084894