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Proceedings Paper

Tracking of facial features using deformable triangles
Author(s): P. P. Pradeep; Paul F. Whelan
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Paper Abstract

In this paper we present a novel algorithm to track the facial features using a deformable triangle model. The face is modeled as an isosceles triangle connecting the eyes and lips which are called as features of interest (FoI). A maximum likelihood estimator is used to estimate the position of such a triangle in the image sequences by maximizing the correlation value of the feature template in the image and also the probability that the resulting structure represents a face structure. A method is proposed to remove the noise in the obtained structure by projecting it into a shape subspace of isosceles triangles. Burst error in tracking is removed by using a Kalman filter. The algorithm can successfully locate and track the facial features on two sets of video sequences obtained in the laboratory under normal lighting condition with a cluttered background.

Paper Details

Date Published: 19 March 2003
PDF: 6 pages
Proc. SPIE 4877, Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision, (19 March 2003); doi: 10.1117/12.463680
Show Author Affiliations
P. P. Pradeep, Dublin City Univ. (Ireland)
Paul F. Whelan, Dublin City Univ. (Ireland)


Published in SPIE Proceedings Vol. 4877:
Opto-Ireland 2002: Optical Metrology, Imaging, and Machine Vision
Andrew Shearer; Fionn D. Murtagh; James Mahon; Paul F. Whelan, Editor(s)

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