Study of weighted fusion methods for the measurement of surface geometry

Wang, Jian; Pagani, Luca; Leach, Richard K.; Zeng, Wenhan; Colosimo, Bianca M.; Zhou, Liping

Abstract

© 2016 Elsevier Inc. Four types of weighted fusion methods, including pixel-level, least-squares, parametrical and non-parametrical, have been classified and theoretically analysed in this study. In particular, the uncertainty propagation of the weighted least-squares fusion was analysed and its relation to the Kalman filter was studied. In cooperation with different fitting models, these four weighted fusion methods can be applied to a range of measurement challenges. The experimental results of this study show that the four weighted fusion methods compose a computationally efficient and reliable system for multi-sensor measurement problems, especially for freeform surface measurement. A comparison of weighted fusion with residual approximation-based fusion has also been conducted by providing the input datasets with different noise levels and sample sizes. The results demonstrated that weighted fusion and residual approximation-based fusion are complementary approaches applicable to most fusion scenarios.

Citation

Wang, J., Pagani, L., Leach, R. K., Zeng, W., Colosimo, B. M., & Zhou, L. (2017). Study of weighted fusion methods for the measurement of surface geometry. Precision Engineering, 47, 111-121. https://doi.org/10.1016/j.precisioneng.2016.07.012

• Journal Article Type: Article
• Acceptance Date: Jul 26, 2016
• Online Publication Date: Jul 29, 2016
• Publication Date: 2017-01
• Deposit Date: Aug 2, 2016
• Publicly Available Date: Aug 2, 2016
• Journal: Precision Engineering
• Print ISSN: 0141-6359
• Electronic ISSN: 0141-6359
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 47
• Pages: 111-121
• DOI: https://doi.org/10.1016/j.precisioneng.2016.07.012
• Keywords: weighted fusion; multi-sensor measurement; surface reconstruction; uncertainty
• Public URL: https://nottingham-repository.worktribe.com/output/742158
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S014163591630126X
• Additional Information: This article is maintained by: Elsevier; Article Title: Study of weighted fusion methods for the measurement of surface geometry; Journal Title: Precision Engineering; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.precisioneng.2016.07.012; Content Type: article; Copyright: © 2016 Elsevier Inc. All rights reserved.