FACIAL EXPRESSION SYNTHESIS AND RECOGNITION WITH INTENSITY ALIGNMENT

Hao Wang

Abstract

This paper proposes a novel approach for facial expression synthesis that can generate arbitrary expressions for a new person with natural expression details. This approach is based on local geometry preserving between the input face image and the target expression image. In order to generate expressions with arbitrary intensity for a new person with unknown expression, this paper also develops an expression recognition scheme based on Supervised Locality Preserving Projections (SLPP), which aligns different subjects and different intensities on one generalized expression manifold. Experimental results clearly demonstrate the efficiency of the proposed algorithm.

References

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Paper Citation


in Harvard Style

Wang H. (2007). FACIAL EXPRESSION SYNTHESIS AND RECOGNITION WITH INTENSITY ALIGNMENT . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 45-52. DOI: 10.5220/0002132400450052


in Bibtex Style

@conference{sigmap07,
author={Hao Wang},
title={FACIAL EXPRESSION SYNTHESIS AND RECOGNITION WITH INTENSITY ALIGNMENT},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={45-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002132400450052},
isbn={978-989-8111-13-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - FACIAL EXPRESSION SYNTHESIS AND RECOGNITION WITH INTENSITY ALIGNMENT
SN - 978-989-8111-13-5
AU - Wang H.
PY - 2007
SP - 45
EP - 52
DO - 10.5220/0002132400450052