Title :
A Robust Real-Time Face Tracking Using Head Pose Estimation for a Markerless AR System
Author :
Macedo, Marcio C. F. ; Apolinario, Antonio L. ; Souza, Antonio C. S.
Author_Institution :
Dept. de Cienc. da Comput., Univ. Fed. da Bahia (UFBA), Salvador, Brazil
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.
Keywords :
augmented reality; face recognition; object tracking; pose estimation; ICP algorithm; Kinect-fusion algorithm; face pose changes; face pose variations; head pose estimation; iterative closest point algorithm; markerless AR system; robust real-time face tracking; Estimation; Face; Image reconstruction; Iterative closest point algorithm; Real-time systems; Three-dimensional displays; Augmented Reality; Face Tracking; Head Pose Estimation;
Conference_Titel :
Virtual and Augmented Reality (SVR), 2013 XV Symposium on
Conference_Location :
Cuiaba
DOI :
10.1109/SVR.2013.12
