SMILE DETECTION USING LOCAL BINARY PATTERNS AND SUPPORT VECTOR MACHINES

D. Freire, M. Castrillón, O. Déniz

Abstract

Facial expression recognition has been the subject of much research in the last years within the Computer Vision community. The detection of smiles, however, has received less attention. Its distinctive configuration may pose less problem than other, at times subtle, expressions. On the other hand, smiles can still be very useful as a measure of happiness, enjoyment or even approval. Geometrical or local-based detection approaches like the use of lip edges may not be robust enough and thus researchers have focused on applying machine learning to appearance-based descriptors. This work makes an extensive experimental study of smile detection testing the Local Binary Patterns (LBP) as main descriptors of the image, along with the powerful Support Vector Machines classifier. The results show that error rates can be acceptable, although there is still room for improvement.

References

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Paper Citation


in Harvard Style

Freire D., Castrillón M. and Déniz O. (2009). SMILE DETECTION USING LOCAL BINARY PATTERNS AND SUPPORT VECTOR MACHINES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 398-401. DOI: 10.5220/0001792303980401


in Bibtex Style

@conference{visapp09,
author={D. Freire and M. Castrillón and O. Déniz},
title={SMILE DETECTION USING LOCAL BINARY PATTERNS AND SUPPORT VECTOR MACHINES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={398-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001792303980401},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - SMILE DETECTION USING LOCAL BINARY PATTERNS AND SUPPORT VECTOR MACHINES
SN - 978-989-8111-69-2
AU - Freire D.
AU - Castrillón M.
AU - Déniz O.
PY - 2009
SP - 398
EP - 401
DO - 10.5220/0001792303980401