Deformation measurements by digital image correlation: Implementation of a second-order displacement gradient
By H. Lu, Peter Cary. 2000
449 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/f38a5e7e297c18ee98b19cbe2e744bfee4b3002e
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
- Bing Pan
- François Hild
- Jean-José Orteu
- Jian Zhao
- Qianbing Zhang
- Justin A. Blaber
- Michael A. Sutton
- H. Schreier
In Media Technology
- Bing Pan
- Qianbing Zhang
- Jian Zhao
- Justin A. Blaber
- François Hild
- Michael A. Sutton
- Jean-José Orteu
- H. Schreier
Citations in the corpus
- Ncorr: Open-Source 2D Digital Image Correlation Matlab Software (2015, background): “In recent years, several improvements to the core computation algorithms have been proposed and implemented [26–31].”
- Assessment of Digital Image Correlation Measurement Errors: Methodology and Results (2009, background): “Even though higher order formulations can be found in the literature [43], the most general expression used in this study is a second order polynomial [44], given by:”
- A novel coarse-fine search scheme for digital image correlation method (2006, background): “For example, a new implementation was proposed in [16,17] for increasing output accuracy.”
- High-Speed Photography and Digital Optical Measurement Techniques for Geomaterials: Fundamentals and Applications (2017, background): “shape function capable of depicting more complex local deformation has been demonstrated to provide high accuracy (Lu and Cary 2000; Yu and Pan 2015).”
- Systematic errors in digital image correlation due to undermatched subset shape functions (2002, background): “The feature distribution can be thought of as a weighting function applied to eq ( 7 ).”
- Equivalence of digital image correlation criteria for pattern matching. (2010, unknown): “[4,11,29 – 32].”