Lecture 9

Lecture 9: Digital Twin (duration:1h30)

 

Objectives

  • Get the trainee familiar with synthetic image deformation and how this helps to validate numerical models

Contents

  • Pitfalls in model validation by DIC
  • The alignment problem
  • The location issue
  • Which regularization parameters to select in order to validate my model?
  • Principles of synthetic image generation
  • Model validation: a stereo perspective

Competencies

  • The trainee has basic knowledge on possible pitfalls in model validation and how to interpret the model-measurement different regularization works.