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• W2472603295 abstract "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." @default.
• W2472603295 created "2016-07-22" @default.
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• W2472603295 date "2016-10-01" @default.
• W2472603295 modified "2023-10-14" @default.
• W2472603295 title "On-line three-dimensional point cloud data extraction method for scan-tracking measurement of irregular surface using bi-Akima spline" @default.
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• W2472603295 doi "https://doi.org/10.1016/j.measurement.2016.06.008" @default.
• W2472603295 hasPublicationYear "2016" @default.
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