Browsing by Author "Longstaff, Andrew"

Now showing 1 - 1 of 1
  • Thumbnail Image
    ItemOpen Access
    Multiple-sensor integration for efficient reverse engineering of geometry
    (Cranfield University Press, 2013-09-19) Li, Feng; Longstaff, Andrew; Fletcher, Simon; Myers, Alan
    This 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.