Jan. 10, 2022, 2:10 a.m. | Ru Yang, Yang Li, Danielle Zeng, Ping Guo

cs.CV updates on arXiv.org arxiv.org

Digital image correlation (DIC) has become an industry standard to retrieve
accurate displacement and strain measurement in tensile testing and other
material characterization. Though traditional DIC offers a high precision
estimation of deformation for general tensile testing cases, the prediction
becomes unstable at large deformation or when the speckle patterns start to
tear. In addition, traditional DIC requires a long computation time and often
produces a low spatial resolution output affected by filtering and speckle
pattern quality. To address these …

arxiv correlation deep learning digital learning

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Alternant Data Engineering

@ Aspire Software | Angers, FR

Senior Software Engineer, Generative AI

@ Google | Dublin, Ireland