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Sensors 2017, 17(5), 1110; doi:10.3390/s17051110

Development of Data Registration and Fusion Methods for Measurement of Ultra-Precision Freeform Surfaces

1
Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing, Fudan University, Shanghai 200433, China
2
Institute of Robotics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
*
Author to whom correspondence should be addressed.
Academic Editors: Xue-Bo Jin, Shuli Sun, Hong Wei and Feng-Bao Yang
Received: 23 March 2017 / Revised: 4 May 2017 / Accepted: 9 May 2017 / Published: 12 May 2017
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Abstract

The measurement of ultra-precision freeform surfaces commonly requires several datasets from different sensors to realize holistic measurements with high efficiency. The effectiveness of the technology heavily depends on the quality of the data registration and fusion in the measurement process. This paper presents methods and algorithms to address these issues. An intrinsic feature pattern is proposed to represent the geometry of the measured datasets so that the registration of the datasets in 3D space is casted as a feature pattern registration problem in a 2D plane. The accuracy of the overlapping area is further improved by developing a Gaussian process based data fusion method with full consideration of the associated uncertainties in the measured datasets. Experimental studies are undertaken to examine the effectiveness of the proposed method. The study should contribute to the high precision and efficient measurement of ultra-precision freeform surfaces on multi-sensor systems. View Full-Text
Keywords: data fusion; data registration; intrinsic surface features; ultra-precision freeform surfaces; precision metrology data fusion; data registration; intrinsic surface features; ultra-precision freeform surfaces; precision metrology
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Kong, L.B.; Ren, M.J.; Xu, M. Development of Data Registration and Fusion Methods for Measurement of Ultra-Precision Freeform Surfaces. Sensors 2017, 17, 1110.

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