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

Chen Z, Zhang F, Qu X, Liang B - Sensors (Basel) (2015)

Bottom Line: With the multi-sensor data fusion, errors accumulated during the image alignment and registration process are minimized, and the measuring precision is significantly improved.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 Article: PubMed Central - PubMed

Affiliation: State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. cz19902013@sina.com.

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.

No MeSH data available.


Schematic of the combined system.
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sensors-15-14328-f002: Schematic of the combined system.

Mentions: As shown in Figure 2, the described system is made up of a handheld laser scanning sensor, a laser tracker, used as a position sensor, and the PC software. Compared with traditional scanning sensors, the handheld laser scanning sensor is more suitable for performing local scanning. Without the limitation of the external mechanical device, the scanner possesses six degrees-of-freedom in motion to eliminate the blind areas, and meanwhile, the scanning process is simplified.


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

Chen Z, Zhang F, Qu X, Liang B - Sensors (Basel) (2015)

Schematic of the combined system.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507636&req=5

sensors-15-14328-f002: Schematic of the combined system.
Mentions: As shown in Figure 2, the described system is made up of a handheld laser scanning sensor, a laser tracker, used as a position sensor, and the PC software. Compared with traditional scanning sensors, the handheld laser scanning sensor is more suitable for performing local scanning. Without the limitation of the external mechanical device, the scanner possesses six degrees-of-freedom in motion to eliminate the blind areas, and meanwhile, the scanning process is simplified.

Bottom Line: With the multi-sensor data fusion, errors accumulated during the image alignment and registration process are minimized, and the measuring precision is significantly improved.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 Article: PubMed Central - PubMed

Affiliation: State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China. cz19902013@sina.com.

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.

No MeSH data available.