Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968904 | Image and Vision Computing | 2017 | 46 Pages |
Abstract
In this paper, we address the problem of quantifying the facial asymmetry from 3D face sequence (4D). We investigate the role of 4D data to reveal the amount of both static and dynamic asymmetry in the clinical case of facial paralysis. The goal is to provide tools to clinicians to evaluate quantitatively facial paralysis treatment based on Botulinum Toxin (BT), which can provide qualitative and quantitative evaluations. To this end, Dense Scalar Fields (DSFs), based on Riemannian analysis of 3D facial shape, is proposed to quantify facial deformations. To assess this approach, a new 3D facial sequences of 16 patients data set is collected, before and after injecting the BT. For each patient, we have collected 8 facial expressions before and after injecting BT. Experimental results obtained on this data set show that the proposed approach allows clinicians to evaluate more accurately the facial asymmetry before and after the treatment.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Paul Audain Desrosiers, Yasmine Bennis, Mohamed Daoudi, Boulbaba Ben Amor, Pierre Guerreschi,