Multiple-sensor integration for efficient reverse engineering of geometry

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dc.contributor.authorLi, Feng
dc.contributor.authorLongstaff, Andrew
dc.contributor.authorFletcher, Simon
dc.contributor.authorMyers, Alan
dc.date.accessioned2015-09-25T05:59:50Z
dc.date.available2015-09-25T05:59:50Z
dc.date.issued2013-09-19
dc.description.abstractThis paper describes a multi-sensor measuring system for reverse engineering applications. A sphere-plate artefact is developed for data unification of the hybrid system. With the coordinate data acquired using the optical system, intelligent feature recognition and segmentation algorithms can be applied to extract the global surface information of the object. The coordinate measuring machine (CMM) is used to re-measure the geometric features with a small amount of sampling points and the obtained information can be subsequently used to compensate the point data patches which are measured by optical system. Then the optimized point data can be exploited for accurate reverse engineering of CAD model. The limitations of each measurement system are compensated by the other. Experimental results validate the accuracy and effectiveness of this data optimization approach.en_UK
dc.identifier.citationLi F., Longstaff A., Fletcher S. and Myers A. (2013). Multiple-sensor integration for efficient reverse engineering of geometry. Proceedings of the 11th International Conference on Manufacturing Research (ICMR2013), Cranfield University, UK, 19th – 20th September 2013, pp 319-324en_UK
dc.identifier.isbn9781907413230
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/9483
dc.language.isoenen_UK
dc.publisherCranfield University Pressen_UK
dc.relation.ispartofseriesHuman, Robots and Digital Manufacturingen_UK
dc.relation.ispartofseries5en_UK
dc.subjectCMMen_UK
dc.subjectHybrid systemen_UK
dc.subjectReverse engineeringen_UK
dc.titleMultiple-sensor integration for efficient reverse engineering of geometryen_UK
dc.typeConference paperen_UK

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