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

Li, Feng, Longstaff, Andrew P., Fletcher, Simon and Myers, Alan (2011) A fast and effective way to improve the merging accuracy of multi-view point cloud data. In: Proceedings of the 17th International Conference on Automation & Computing. Chinese Automation and Computing Society, Huddersfield, UK, pp. 18-21. ISBN 978-1-86218-098-7

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    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.

    Item Type: Book Chapter
    Subjects: T Technology > T Technology (General)
    T Technology > TJ Mechanical engineering and machinery
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Centre for Precision Technologies > Engineering Control and Machine Performance Research Group
    School of Computing and Engineering > Informatics Research Group
    School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
    Related URLs:
    Depositing User: Feng Li
    Date Deposited: 22 Sep 2011 15:10
    Last Modified: 22 Sep 2011 15:10
    URI: http://eprints.hud.ac.uk/id/eprint/11500

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