FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS

Bartlomiej W. Papiez, Bogdan J. Matuszewski, Lik-Kwan Shark, Wei Quan

2012

Abstract

This paper presents a new method for facial expression modelling and recognition based on diffeomorphic image registration parameterised via stationary velocity fields in Log-Euclidean framework. The validation and comparison are done using different statistical shape models (SSM) built using the Point Distribution Model (PDM), velocity fields, and deformation fields. The obtained results show that the facial expression representation based on stationary velocity field can be successfully utilised in facial expression recognition, and this parameterisation produces higher recognition rate than the facial expression representation based on deformation fields.

References

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Paper Citation


in Harvard Style

W. Papiez B., J. Matuszewski B., Shark L. and Quan W. (2012). FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: SADM, (ICPRAM 2012) ISBN 978-989-8425-98-0, pages 351-359. DOI: 10.5220/0003867503510359


in Bibtex Style

@conference{sadm12,
author={Bartlomiej W. Papiez and Bogdan J. Matuszewski and Lik-Kwan Shark and Wei Quan},
title={FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: SADM, (ICPRAM 2012)},
year={2012},
pages={351-359},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003867503510359},
isbn={978-989-8425-98-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: SADM, (ICPRAM 2012)
TI - FACIAL EXPRESSION RECOGNITION USING LOG-EUCLIDEAN STATISTICAL SHAPE MODELS
SN - 978-989-8425-98-0
AU - W. Papiez B.
AU - J. Matuszewski B.
AU - Shark L.
AU - Quan W.
PY - 2012
SP - 351
EP - 359
DO - 10.5220/0003867503510359