Study of weighted fusion methods for the measurement of surface geometry
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 f...
| Main Authors: | , , , , , |
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| Format: | Article |
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Elsevier
2015
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| Online Access: | https://eprints.nottingham.ac.uk/35638/ |
| _version_ | 1848795126489415680 |
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| author | Wang, Jian Pagani, Luca Leach, Richard K. Zeng, Wenhan Colosimo, Bianca M. Zhou, Liping |
| author_facet | Wang, Jian Pagani, Luca Leach, Richard K. Zeng, Wenhan Colosimo, Bianca M. Zhou, Liping |
| author_sort | Wang, Jian |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:27:08Z |
| format | Article |
| id | nottingham-35638 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:27:08Z |
| publishDate | 2015 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-356382020-05-04T16:59:51Z https://eprints.nottingham.ac.uk/35638/ 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 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. Elsevier 2015-01-31 Article PeerReviewed Wang, Jian, Pagani, Luca, Leach, Richard K., Zeng, Wenhan, Colosimo, Bianca M. and Zhou, Liping (2015) Study of weighted fusion methods for the measurement of surface geometry. Precision Engineering, 47 . pp. 111-121. ISSN 0141-6359 weighted fusion; multi-sensor measurement; surface reconstruction; uncertainty http://www.sciencedirect.com/science/article/pii/S014163591630126X doi:10.1016/j.precisioneng.2016.07.012 doi:10.1016/j.precisioneng.2016.07.012 |
| spellingShingle | weighted fusion; multi-sensor measurement; surface reconstruction; uncertainty Wang, Jian Pagani, Luca Leach, Richard K. Zeng, Wenhan Colosimo, Bianca M. Zhou, Liping Study of weighted fusion methods for the measurement of surface geometry |
| title | Study of weighted fusion methods for the measurement of surface geometry |
| title_full | Study of weighted fusion methods for the measurement of surface geometry |
| title_fullStr | Study of weighted fusion methods for the measurement of surface geometry |
| title_full_unstemmed | Study of weighted fusion methods for the measurement of surface geometry |
| title_short | Study of weighted fusion methods for the measurement of surface geometry |
| title_sort | study of weighted fusion methods for the measurement of surface geometry |
| topic | weighted fusion; multi-sensor measurement; surface reconstruction; uncertainty |
| url | https://eprints.nottingham.ac.uk/35638/ https://eprints.nottingham.ac.uk/35638/ https://eprints.nottingham.ac.uk/35638/ |