Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT)
A windowed, optimal and tracking (WOT) strategy for measurement data analysis is described, explained and discussed. Many fringe pattern analysis and digital image correlation algorithms adopted this strategy, and thus their similarities and links are revealed. Although this strategy is not new, hig...
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sg-ntu-dr.10356-1069122020-05-28T07:18:06Z Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT) Qian, Kemao Creath, Katherine Burke, Jan Schmit, Joanna School of Computer Engineering Interferometry XVII: Techniques and Analysis DRNTU::Engineering::Computer science and engineering::Software::Programming techniques A windowed, optimal and tracking (WOT) strategy for measurement data analysis is described, explained and discussed. Many fringe pattern analysis and digital image correlation algorithms adopted this strategy, and thus their similarities and links are revealed. Although this strategy is not new, highlighting it is believed to be helpful for future algorithm development. Published version 2015-03-09T06:18:29Z 2019-12-06T22:20:51Z 2015-03-09T06:18:29Z 2019-12-06T22:20:51Z 2014 2014 Conference Paper Qian, K. (2014). Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT). Proceedings of SPIE- Interferometry XVII: Techniques and Analysis, 9203, 92030M-. https://hdl.handle.net/10356/106912 http://hdl.handle.net/10220/25200 10.1117/12.2059757 en © 2014 Society of Photo-Optical Instrumentation Engineers (SPIE). This paper was published in Proceedings of SPIE- Interferometry XVII: Techniques and Analysis and is made available as an electronic reprint (preprint) with permission of Society of Photo-Optical Instrumentation Engineers (SPIE). The paper can be found at the following official DOI: [http://dx.doi.org/10.1117/12.2059757]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 6 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Software::Programming techniques |
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DRNTU::Engineering::Computer science and engineering::Software::Programming techniques Qian, Kemao Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT) |
| description |
A windowed, optimal and tracking (WOT) strategy for measurement data analysis is described, explained and discussed. Many fringe pattern analysis and digital image correlation algorithms adopted this strategy, and thus their similarities and links are revealed. Although this strategy is not new, highlighting it is believed to be helpful for future algorithm development. |
| author2 |
Creath, Katherine |
| author_facet |
Creath, Katherine Qian, Kemao |
| format |
Conference or Workshop Item |
| author |
Qian, Kemao |
| author_sort |
Qian, Kemao |
| title |
Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT) |
| title_short |
Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT) |
| title_full |
Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT) |
| title_fullStr |
Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT) |
| title_full_unstemmed |
Links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (WOT) |
| title_sort |
links between fringe pattern analysis and digital image correlation : windowed, optimal, and tracking (wot) |
| publishDate |
2015 |
| url |
https://hdl.handle.net/10356/106912 http://hdl.handle.net/10220/25200 |
| _version_ |
1681057168990666752 |