Instituto de Matemática >
Mestrado Multiinstitucional de Pós-Graduação em Ciência da Computação (MMCC) >
Artigos Publicados em Conferências (MMCC) >

Please use this identifier to cite or link to this item: http://repositorio.ufba.br/ri/handle/ri/21062

Title: A robust real-time face tracking using head pose estimation for a markerless AR system
Authors: Macedo, Márcio Cerqueira de Farias
Apolinário Júnior, Antonio Lopes
Souza, Antonio Carlos dos Santos
Keywords: Augmented reality;Head pose estimation;Face tracking
Issue Date: 7-Nov-2013
Publisher: IEEE
Abstract: 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.
URI: http://repositorio.ufba.br/ri/handle/ri/21062
ISBN: 978-0-7695-5001-5
Appears in Collections:Artigos Publicados em Conferências (MMCC)

Files in This Item:

File Description SizeFormat
A Robust Real-Time Face Tracking using Head Pose Estimation for a Markerless AR System.pdf324.63 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


    Universidade Federal da Bahia

Contate-nos. Saiba mais sobre o RI/UFBA