Role for 2D image generated 3D face models in the rehabilitation of facial palsy

Gary Storey*, Richard Jiang, Ahmed Bouridane

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
63 Downloads (Pure)

Abstract

The outcome for patients diagnosed with facial palsy has been shown to be linked to rehabilitation. Dense 3D morphable models have been shown within the computer vision to create accurate representations of human faces even from single 2D images. This has the potential to provide feedback to both the patient and medical expert dealing with the rehabilitation plan. It is proposed that a framework for the creation and measuring of patient facial movement consisting of a hybrid 2D facial landmark fitting technique which shows better accuracy in testing than current methods and 3D model fitting.

Original languageEnglish
Pages (from-to)145-148
Number of pages4
JournalHealthcare Technology Letters
Volume4
Issue number4
DOIs
Publication statusPublished - 10 Aug 2017

Keywords

  • stereo image processing
  • medical image processing
  • patient rehabilitation
  • computer vision

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