An Overview of the Gradient-Based Local DIC Formulation for Motion Estimation in DICe
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
This document outlines the gradient-based digital image correlation (DIC) formulation used in DICe, the Digital Image Correlation Engine (Sandia’s open source DIC code). The gradient-based algorithm implemented in DICe directly reflects the formulation presented here. Every effort is made to point out any simplifications or assumptions involved in the implementation. The focus of this document is on determination of the motion parameters. Computing strain is not discussed herein.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1561808
- Report Number(s):
- SAND--2016-7360R; 646257
- Country of Publication:
- United States
- Language:
- English
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