2022
DOI: 10.1016/j.optlaseng.2022.107012
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Experimental assessment of noise robustness of the forward-additive, symmetric-additive and the inverse-compositional Gauss-Newton algorithm in digital image correlation

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Cited by 13 publications
(6 citation statements)
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“…Expanding the reference image [44,45] R gives remarkable advantages since it does not change during calculation history, as the intensity derivatives. In addition, this strategy is not sensitive to noise bias [46,47]. An alternative solution is the expansion of both target and reference intensity fields at midpoint [48,49].…”
Section: Digital Image Correlation In Tensile Testsmentioning
confidence: 99%
“…Expanding the reference image [44,45] R gives remarkable advantages since it does not change during calculation history, as the intensity derivatives. In addition, this strategy is not sensitive to noise bias [46,47]. An alternative solution is the expansion of both target and reference intensity fields at midpoint [48,49].…”
Section: Digital Image Correlation In Tensile Testsmentioning
confidence: 99%
“…Several excellent review articles describe the steps mentioned above in detail for DIC 5,54,55 and DVC 6 . We highlight our previous work, which provides a detailed outline of both planar‐ 12 and stereo‐DIC 13 and its implementation in code using the inverse compositional Gauss–Newton method, which is considered to be the current state‐of‐the‐art optimisation method that offers the best accuracy, noise resistance and computational efficiency in practice 56,57 …”
Section: Basic Principles Of Dic and Dvcmentioning
confidence: 99%
“…
Fig. 3 Dynamic response of Pike F421b camera in terms of SNR and standard deviation for multi-acquisition procedure [1] .
…”
Section: Data Descriptionmentioning
confidence: 99%
“… The present article shares with the scientific community several image sets used for experimentally validating the noise-induced bias on different Digital Image Correlation (DIC) formulations, as reported in Baldi et al. [1] . These sets are provided with a description of the experimental setup used for image acquisition.…”
mentioning
confidence: 94%