FACIAL POSE ESTIMATION USING ACTIVE APPEARANCE MODELS AND A GENERIC FACE MODEL

Thorsten Gernoth, Katerina Alonso Martínez, André Gooßen, Rolf-Rainer Grigat

Abstract

The complexity in face recognition emerges from the variability of the appearance of human faces. While the identity is preserved, the appearance of a face may change due to factors such as illumination, facial pose or facial expression. Reliable biometric identification relies on an appropriate response to these factors. In this paper we address the estimation of the facial pose as a first step to deal with pose changes. We present a method for pose estimation from two-dimensional images captured under active infrared illumination using a statistical model of facial appearance. An active appearance model is fitted to the target image to find facial features. We formulate the fitting algorithm using a smooth warp function, namely thin plate splines. The presented algorithm requires only a coarse and generic three-dimensional model of the face to estimate the pose from the detected features locations. The desired field of application requires the algorithm to work with many different faces, including faces of subjects not seen during the training stage. A special focus is therefore on the evaluation of the generalization performance of the algorithm which is one weakness of the classic active appearance model algorithm.

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Paper Citation


in Harvard Style

Gernoth T., Alonso Martínez K., Gooßen A. and Grigat R. (2010). FACIAL POSE ESTIMATION USING ACTIVE APPEARANCE MODELS AND A GENERIC FACE MODEL . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 499-506. DOI: 10.5220/0002835604990506


in Bibtex Style

@conference{visapp10,
author={Thorsten Gernoth and Katerina Alonso Martínez and André Gooßen and Rolf-Rainer Grigat},
title={FACIAL POSE ESTIMATION USING ACTIVE APPEARANCE MODELS AND A GENERIC FACE MODEL},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={499-506},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002835604990506},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - FACIAL POSE ESTIMATION USING ACTIVE APPEARANCE MODELS AND A GENERIC FACE MODEL
SN - 978-989-674-029-0
AU - Gernoth T.
AU - Alonso Martínez K.
AU - Gooßen A.
AU - Grigat R.
PY - 2010
SP - 499
EP - 506
DO - 10.5220/0002835604990506