Title :

Novel Generative Model for Facial Expressions Based on Statistical Shape Analysis of Landmarks Trajectories

Author(s) :

Desrosiers, Paul Audain [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Daoudi, Mohamed [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]
Devanne, Maxime [Auteur]
Modeling and Analysis of Static and Dynamic Shapes [3D-SAM]

Scientific editor(s) :

Eduardo Bayro-Corrochano
Gabriella Sanniti di Baja
Gérard Medioni

Conference title :

23rd International Conference on Pattern Recognition, ICPR 2016

Conference organizers(s) :

International Association for Pattern Recognition

City :

Cancún

Country :

Mexique

Start date of the conference :

2016-12-04

Publisher :

IEEE

Publication date :

2016

HAL domain(s) :

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

English abstract : [en]

We propose a novel geometric framework for analyzing spontaneous facial expressions, with the specific goal of comparing, matching, and averaging the shapes of landmarks trajectories. Here we represent facial expressions ...
Show more >We propose a novel geometric framework for analyzing spontaneous facial expressions, with the specific goal of comparing, matching, and averaging the shapes of landmarks trajectories. Here we represent facial expressions by the motion of the landmarks across the time. The trajectories are represented by curves. We use elastic shape analysis of these curves to develop a Riemannian framework for analyzing shapes of these trajectories. In terms of empirical evaluation, our results on two databases: UvA-NEMO and Cohn-Kanade CK+ are very promising. From a theoretical perspective, this framework allows formal statistical inferences, such as generation of facial expressions.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