Analysis and Comparison of the Cone Curvature Descriptor in Facial Gesture Recognition Tasks

This article presents the results of analyzing the behavior of the Cone Curvature shapedescriptor (CC) in the task of recognition of facial expressions in 3D images. The CCdescriptor is a representation of the 3D model computed from a set of waves modelingfor each vertex of a polygon mesh. The 3D Fa...

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Detalles Bibliográficos
Autores Principales: Rodriguez Acevedo, Julián Severiano, Prieto Ortiz, Flavio Augusto
Formato: Artículo (Article)
Lenguaje:Español (Spanish)
Publicado: Universidad Distrital Francisco José de Caldas 2015
Materias:
Acceso en línea:http://hdl.handle.net/11349/19835
Descripción
Sumario:This article presents the results of analyzing the behavior of the Cone Curvature shapedescriptor (CC) in the task of recognition of facial expressions in 3D images. The CCdescriptor is a representation of the 3D model computed from a set of waves modelingfor each vertex of a polygon mesh. The 3D Facial Expression Database (BU-3DFE) wasused, which contains images with six facial expressions. With the use of the CC descriptor,the expressions were recognized in an average percentage of 76.67% with a neuralnetwork, and of 78.88% with a Bayesian classifier. By combining the CC descriptor withother descriptors such as DESIRE and Spherical Spin Image, it was achieved an averagepercentage of gesture recognition of 90.27%and 97.2 %, using the mentioned classifiers.