FACIAL EXPRESSION RECOGNITION USING ACTIVE APPEARANCE MODELS

Pedro Martins, Joana Sampaio, Jorge Batista

Abstract

A framework for automatic facial expression recognition combining Active Appearance Model (AAM) and Linear Discriminant Analysis (LDA) is proposed. Seven different expressions of several subjects, representing the neutral face and the facial emotions of happiness, sadness, surprise, anger, fear and disgust were analysed. The proposed solution starts by describing the human face by an AAM model, projecting the appearance results to a Fisherspace using LDA to emphasize the different expression categories. Finaly the performed classification is based on malahanobis distance.

References

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Paper Citation


in Harvard Style

Martins P., Sampaio J. and Batista J. (2008). FACIAL EXPRESSION RECOGNITION USING ACTIVE APPEARANCE MODELS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 123-129. DOI: 10.5220/0001088701230129


in Bibtex Style

@conference{visapp08,
author={Pedro Martins and Joana Sampaio and Jorge Batista},
title={FACIAL EXPRESSION RECOGNITION USING ACTIVE APPEARANCE MODELS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={123-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001088701230129},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - FACIAL EXPRESSION RECOGNITION USING ACTIVE APPEARANCE MODELS
SN - 978-989-8111-21-0
AU - Martins P.
AU - Sampaio J.
AU - Batista J.
PY - 2008
SP - 123
EP - 129
DO - 10.5220/0001088701230129