EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS

Jonghwa Kim, Frank Jung

Abstract

There has been a significant amount of work on automatic facial expression recognition towards realizing affective interfaces in human-computer interaction (HCI). However, most previous works are based on specific users and dataset-specific methods and therefore the results should be strongly dependent on their lab settings. This makes it difficult to attain a generalized recognition system for different applications. In this paper, we present efficiency analysis results of two feature domains, Gabor wavelet-based feature space and geometric position-based feature space, by applying them to two facial expression datasets that are generated in quite different environmental settings.

References

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Paper Citation


in Harvard Style

Kim J. and Jung F. (2010). EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS . In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-674-021-4, pages 631-634. DOI: 10.5220/0002737306310634


in Bibtex Style

@conference{icaart10,
author={Jonghwa Kim and Frank Jung},
title={EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS},
booktitle={Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2010},
pages={631-634},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002737306310634},
isbn={978-989-674-021-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS
SN - 978-989-674-021-4
AU - Kim J.
AU - Jung F.
PY - 2010
SP - 631
EP - 634
DO - 10.5220/0002737306310634