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On-line three-dimensional point cloud data extraction method for scan-tracking measurement of irregular surface using bi-Akima spline
Affiliation:1. School of Manufacturing Science and Engineering, Sichuan University, China;2. School of Mechanical Engineering, Dalian University of Technology, China;3. FAW-Volkswagen Automotive Company, Ltd, China;1. Department of Marine Engineering, Dalian Maritime University, Dalian 116026, China;2. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada;1. Southeast University, School of Instrument Science and Engineering, Key Laboratory of Micro-inertial Instrument and Advanced Navigation Technology, Ministry of Education, Nanjing 210096, China;2. Jiangsu Electrical Power Company Research Institute, Nanjing 211103, China;1. Department of Engineering, University of Sannio, Benevento, Italy;2. Medical School, Ovidius University Costanta, Romania;3. Department of Chemistry and Chemical Technology (CTC), University of Calabria, Rende, Italy;1. School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China;2. National Institute of Metrology, Beijing 100013, China;1. Department of Mathematics, Nanjing University of Science and Technology, Nanjing 210094, China;2. Department of Mathematics, School of Science, Beijing Forestry University, Beijing 100083, China;3. Institute of Applied Mathematics, AMSS, CAS, Beijing 100190, China
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.
Keywords:Point cloud data  Data extraction  Scan-tracking measurement  Bi-Akima spline interpolation
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