Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts,Theory and Applications
By Michael A. Sutton, Jean-Jos Orteu, H. Schreier. 2009
521 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ziyun Cai
- Ling Shao
- Li Liu
- Jungong Han
- R. Gurnani
- L. DiSandro
- C. Kroese
- J. Anton
Citations in the corpus
- RGB-D datasets using microsoft kinect or similar sensors: a survey (2016, background): “1 Introduction In the past decades, there has been abundant computer vision research based on RGB images [3, 18, 90].”
- On the blast resistance of laminated glass (2012, unknown): “The included angle between the cameras was set to 25◦ to provide good sensitivity to out-of-plane motion without sacrificing in-plane sensitivity (Sutton et al., 2009).”
- Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring (2019, background): “[183,186].”
- Experimental characterization of the mechanical properties of 3D-printed ABS and polycarbonate parts (2017, methodology): “We propose to utilize digital image correlation (DIC) a non-contact, fullfield method instead (Sutton 2008; Sutton et al. 2009; Sutton et al. 1991).”
- Fracture Energy-Based Brittleness Index Development and Brittleness Quantification by Pre-peak Strength Parameters in Rock Uniaxial Compression (2016, unknown): “Digital image correlation (DIC) refers to the class of non-contact methods that acquire images of an object, store images in digital form and perform image analysis to extract full-field shape, deformation and motion measurements (Chu et al. 1985; Sutton et al. 2009).”
- Dynamic Response and Energy Evolution of Sandstone Under Coupled Static–Dynamic Compression: Insights from Experimental Study into Deep Rock Engineering Applications (2019, unknown): “The optimal average speckle size should be in 3–7 pixels (Sutton et al. 2009).”