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On-line three-dimensional point cloud data extraction method for scan-tracking measurement of irregular surface using bi-Akima spline

Release Time:2019-03-13  Hits:

Indexed by: Journal Article

Date of Publication: 2016-10-01

Journal: MEASUREMENT

Included Journals: Scopus、EI、SCIE

Volume: 92

Page Number: 382-390

ISSN: 0263-2241

Key Words: Point cloud data; Data extraction; Scan-tracking measurement; Bi-Akima spline interpolation

Abstract: Point cloud data extraction is an important process in scan-tracking measurement. In this paper, a new method of on-line three-dimensional point cloud data extraction for scan-tracking measurement is proposed for reducing extremely dense sampled data while maintaining data accuracy during the real-time scan-tracking measuring process. It is inspired from sketch paintings: First outlining the broad contour of the curve and then revising local details till the interpolated curve satisfies the required accuracy. This method adopts bi-Akima spline interpolation for connecting acquired points in NC machining or for point data fitting in reverse engineering. It can reduce efficiently the amount of point data with a smaller data reduction ratio and a smoother machined/fitted surface than conventional three-dimensional chordal method. (C) 2016 Elsevier Ltd. All rights reserved.

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