Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65873
Title: A reconstruction-registration integrated data fusion method for measurement of multiscaled complex surfaces
Authors: Ren, MJ
Sun, LJ
Liu, MY 
Cheung, CF 
Yin, YH
Keywords: Data fusion
Multiscaled surfaces
Precision surface measurement
Surface modeling
Surface registration
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on instrumentation and measurement, 2017, v. 66, no. 3, 7801891, p. 414-423 How to cite?
Journal: IEEE transactions on instrumentation and measurement 
Abstract: The combined use of multiple measurement sensors is considered as a promising solution in surface metrology. Such hybrid instruments require sophisticated data fusion process to achieve overall better measurement results. This paper presents a reconstruction-registration integrated data fusion method to address the difficulty in modeling and fusing multiscaled complex data sets. The method decomposes the data sets into different scales by fitting a common surface via reconstruction and registration process so that the modeling and fusion process are also decomposed, and are only performed among the fitting and matching residuals of the data sets. The quality of the fused results is improved based on weighted mean method with the aid of Gaussian process model by taking into account the associated errors of each data set. The validity of the proposed method is verified through a series of comparison tests with existing methods by both computer simulation and actual measurement. It is shown that both enhanced registration accuracy and fusion quality are achieved by the proposed method with acceptable computation cost. The method should improve the metrological performance of the multisensor instruments in measuring complex surfaces.
URI: http://hdl.handle.net/10397/65873
ISSN: 0018-9456
EISSN: 1557-9662
DOI: 10.1109/TIM.2016.2636538
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

36
Last Week
2
Last month
Citations as of Jan 22, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.