Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations
By Bing Pan, K. Li, Wei Tong. Experimental mechanics, 2013
538 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/620294bb27aebba7188d1ef778e4f19fb3570d10
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In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, methodology): “To further eliminate the redundant computations involved in the classic NR algorithm without sacrificing its subpixel registration accuracy, Pan et al proposed a more efficient inverse-compositional Gauss–Newton (IC-GN) algorithm for fast, robust and accurate full-field displacement measurement [18”
- A review of computer vision–based structural health monitoring at local and global levels (2020, methodology): “Pan et al.127 implemented ZNSSD to monitor the dynamic displacement of a railway bridge when a train was passing through.”
- Vermiculate artefacts in image analysis of granular materials (2016, background): “Meanwhile developments in experimental mechanics and fluid mechanics continue (Pan et al., 2013; Scarano, 2013).”