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Sensors 2015, 15(6), 14328-14344; doi:10.3390/s150614328

Fast Measurement and Reconstruction of Large Workpieces with Freeform Surfaces by Combining Local Scanning and Global Position Data

State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
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Academic Editor: Gonzalo Pajares Martinsanz
Received: 21 April 2015 / Revised: 10 June 2015 / Accepted: 15 June 2015 / Published: 17 June 2015
(This article belongs to the Section Physical Sensors)
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Abstract

In this paper, we propose a new approach for the measurement and reconstruction of large workpieces with freeform surfaces. The system consists of a handheld laser scanning sensor and a position sensor. The laser scanning sensor is used to acquire the surface and geometry information, and the position sensor is utilized to unify the scanning sensors into a global coordinate system. The measurement process includes data collection, multi-sensor data fusion and surface reconstruction. With the multi-sensor data fusion, errors accumulated during the image alignment and registration process are minimized, and the measuring precision is significantly improved. After the dense accurate acquisition of the three-dimensional (3-D) coordinates, the surface is reconstructed using a commercial software piece, based on the Non-Uniform Rational B-Splines (NURBS) surface. The system has been evaluated, both qualitatively and quantitatively, using reference measurements provided by a commercial laser scanning sensor. The method has been applied for the reconstruction of a large gear rim and the accuracy is up to 0.0963 mm. The results prove that this new combined method is promising for measuring and reconstructing the large-scale objects with complex surface geometry. Compared with reported methods of large-scale shape measurement, it owns high freedom in motion, high precision and high measurement speed in a wide measurement range. View Full-Text
Keywords: combined measurement; large-scale workpieces with freeform surfaces; multi-sensor data fusion; 3-D reconstruction combined measurement; large-scale workpieces with freeform surfaces; multi-sensor data fusion; 3-D reconstruction
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Chen, Z.; Zhang, F.; Qu, X.; Liang, B. Fast Measurement and Reconstruction of Large Workpieces with Freeform Surfaces by Combining Local Scanning and Global Position Data. Sensors 2015, 15, 14328-14344.

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