3-D computer vision in experimental mechanics

By Jean-José Orteu. 2007

312 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/6225c5da435765ecb0e2bcc12b3aafc43449ae5c

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. C. Garnier
2. R. Brault
3. S. Mistou
4. H. Welemane
5. Elodie Péronnet
6. Cristina Goidescu
7. M. Fazzini

In Computer Vision and Pattern Recognition

1. C. Garnier
2. R. Brault
3. S. Mistou
4. H. Welemane
5. Elodie Péronnet
6. Cristina Goidescu
7. M. Fazzini

In Media Technology

1. C. Garnier
2. R. Brault
3. S. Mistou
4. H. Welemane
5. Elodie Péronnet
6. Cristina Goidescu
7. M. Fazzini

Citations in the corpus

• Damage investigation in CFRP composites using full-field measurement techniques: Combination of digital image stereo-correlation, infrared thermography and X-ray tomography (2013, methodology): “Yet, the association of DIC with stereovision based on the use of two cameras considerably improves the technique by providing the 3-D displacement field and the surface strain field of any 3-D object ([20,21], Fig.”