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.

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