An Evaluation of Digital Image Correlation Criteria for Strain Mapping Applications
By Wei Tong. 2005
297 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/08bc4266ac3600dd2741f515d891e800fe1bc466
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- High-Speed Photography and Digital Optical Measurement Techniques for Geomaterials: Fundamentals and Applications (2017, background): “More information about the correlation criterion can be found in (Giachetti 2000; Tong 2005).”
- Fast, Robust and Accurate Digital Image Correlation Calculation Without Redundant Computations (2013, methodology): “In a practical measurement, deformed images may undergo certain amount of intensity changes [24, 25].”
- Towards Material Testing 2.0. A review of test design for identification of constitutive parameters from full‐field measurements (2020, methodology): “A study solely devoted to the influence of the nature of the cost function on the quality of the results and on the convergence speed should be undertaken, along similar lines to those discussed for the minimization of the optical residual in DIC [139].”
- Equivalence of digital image correlation criteria for pattern matching. (2010, methodology): “…criterion (which corresponds to the ZNCC criterion), which is insensitive to both offset and scale changes of the intensity of the target subset [11,28], is defined as C. Parametric Sum of Squared Difference Criteria As described previously, the direct SSD criterion is a very simple and…”
- Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, background): “Tong [100] evaluated the robustness, reliability and computational cost of four different kinds of correlation criteria using three sets of images, which were of variable brightness, contrast, uneven local lighting and blurring.”
- Recent Progress in Digital Image Correlation (2011, background): “The ZNSSD criterion, which is insensitive to both offset and scale changes of the intensity of the target subset [8,14], is defined as 2”