A robust real-time face tracking using head pose estimation for a markerless AR system

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metadata.dc.type:	Artigo de Evento
Título :	A robust real-time face tracking using head pose estimation for a markerless AR system
Autor :	Macedo, Márcio Cerqueira de Farias Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos
metadata.dc.creator:	Macedo, Márcio Cerqueira de Farias Apolinário Júnior, Antonio Lopes Souza, Antonio Carlos dos Santos
Resumen :	In this paper we present an extension to the Kinect- Fusion algorithm that allows a robust real-time face tracking. This is achieved altering the original algorithm such that when the tracking algorithm fails, it uses a head pose estimation to give an initial guess to the Iterative Closest Point (ICP) algorithm. We show that this approach can handle more face pose changes and variations than the original KinectFusion's tracking.
Palabras clave :	Augmented reality Head pose estimation Face tracking
metadata.dc.publisher.country:	Brasil
Editorial :	IEEE
metadata.dc.rights:	Acesso Aberto
URI :	http://repositorio.ufba.br/ri/handle/ri/21062
Fecha de publicación :	7-nov-2013
Aparece en las colecciones:	Trabalho Apresentado em Evento (PGCOMP)

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A Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdf		324,63 kB	Adobe PDF	Visualizar/Abrir

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