Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review
By Bing Pan, Kemao Qian, Huimin Xie, Anand K. Asundi. 2009
3,201 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Mechanical Engineering, Media Technology
View Paper: https://www.semanticscholar.org/paper/0df8533242a47ab5778a8eddf53baa782a55887b
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 Mechanical Engineering
- Bing Pan
- Michel Grédiac
- Pieter Vermeesch
- J. Stinville
- Tresa M. Pollock
- J. Quinta da Fonseca
- F. Gioacchino
- Necati Catbas
In Media Technology
Citations in the corpus
- Equivalence of digital image correlation criteria for pattern matching. (2010, methodology): “The predefined criterion can be a cross-correlation criterion or a sum of squared difference criterion [6].”
- Plastic Strain Mapping with Sub-micron Resolution Using Digital Image Correlation (2013, methodology): “These are subdivided into three groups according to the pattern application methodology used, namely: fine paint decoration [6–12], microgrid methods [13–16] and alternative methods [17–22].”
- Sub-Grain Scale Digital Image Correlation by Electron Microscopy for Polycrystalline Materials during Elastic and Plastic Deformation (2016, methodology): “2 nm at HFW of 85 μm) for the displacements within each subset [29].”
- Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring (2019, methodology): “[183,186].”