Open AccessRole for 2D image generated 3D face models in the rehabilitation of facial palsy
Author(s) -
Storey Gary,
Jiang Richard,
Bouridane Ahmed
Publication year - 2017
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2017.0023
Subject(s) - palsy , computer science , face (sociological concept) , rehabilitation , landmark , artificial intelligence , computer vision , physical medicine and rehabilitation , medicine , physical therapy , social science , alternative medicine , pathology , sociology
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.