EMOTIONAL FACIAL EXPRESSION RECOGNITION FROM TWO DIFFERENT FEATURE DOMAINS

Jonghwa Kim, Frank Jung

2010

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.

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