2D Landmark-Based Facial Asymmetry Assessment in the Clinical Case of Facial Paralysis

Szczapa, Benjamin; Daoudi, Mohamed; Kacem, Anis; Guerreschi, Pierre; Gebert, Ludwig; Carlos Alvarez-Paiva, Juan

Document type :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes

Title :

2D Landmark-Based Facial Asymmetry Assessment in the Clinical Case of Facial Paralysis

Author(s) :

Szczapa, Benjamin [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Daoudi, Mohamed [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Lille Douai]
Kacem, Anis [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Guerreschi, Pierre [Auteur]

Gebert, Ludwig [Auteur]
Carlos Alvarez-Paiva, Juan [Auteur]
Laboratoire Paul Painlevé [LPP]

Conference title :

The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019)

City :

Lille

Country :

France

Start date of the conference :

2019-05-14

HAL domain(s) :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

English abstract : [en]

In this paper, we propose a novel technique for quantifying the facial asymmetry from 2D videos to evaluate facial paralysis treatments based on Botulinum Toxin (BT) injections. Our approach uses 2D facial landmarks and ...
Show more >In this paper, we propose a novel technique for quantifying the facial asymmetry from 2D videos to evaluate facial paralysis treatments based on Botulinum Toxin (BT) injections. Our approach uses 2D facial landmarks and barycentric coordinates to objectively quantify the facial asymmetry across 2D videos. To assess our approach, a new dataset of 2D videos, containing eighteen patients before and after the treatments have been collected. For each patient, we have collected nine facial expressions. Experimental results on the newly collected dataset show that the proposed approach provides promising results in concordance with clinical annotations.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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