Improved image-based deformation measurement for geotechnical applications

By S. Stanier, Justin A. Blaber, W. A. Take, D. White. 2016

401 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/ceae2dd661661d918691c9158db4b044198ade36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Bing Pan
2. D. White
3. S. Stanier

In Computer Vision and Pattern Recognition

1. Bing Pan
2. D. White
3. S. Stanier
4. K. Li
5. Wei Tong
6. Jian Zhao
7. Qianbing Zhang

Citations in the corpus

• Digital image correlation for surface deformation measurement: historical developments, recent advances and future goals (2018, methodology): “As a matter of fact, the IC-GN algorithm has been openly used in an open-source DIC package (Ncorr) [186], and adopted as an improved image-based deformation measurement technique for geotechnical applications instead of PIV [187].”
• Vermiculate artefacts in image analysis of granular materials (2016, methodology): “To show (i) that these erroneous vermiculate features are amplified by increased overlapping when using GeoPIV, and (ii) that GeoPIV-RG is less susceptible to ‘peak locking’ for real data, a series of additional analyses with spacing s = 48p (corresponding to overlapping ratio ((Ls − s) /Ls) = 0) we”