FACIAL EXPRESSION RECOGNITION BASED ON FACIAL MUSCLES BEHAVIOR ESTIMATION

Saki Morita, Kuniaki Uehara

2006

Abstract

Recent development in multimedia urges the need for an engineering study of the human face in communication media and man-machine interface. In this paper, we introduce a method not only for recognizing facial expression and human emotion, but for extracting rules from them as well. Facial data can be obtained by considering the relative position of each feature point in time series. Our approach estimates the behavior of muscles of facial expression from these data, and evaluates it to recognize facial expressions. In the recognition process, essential parameters that cause visible change of the face are extracted by estimating the force vectors of points on the face. The force vectors are calculated from displacements of points on the face by using FEM (Finite Element Method). To compare the multi-streams of force vectors of each facial expression effectively, A new similarity metric AMSS (Angular Metrics for Shape Similarity) is proposed. Finally, experiments of recognition of facial expressions shows that usable results are achieved even with few testees in our approach and variable rule corresponding AUs can be detected.

Paper Citation

in Harvard Style

Morita S. and Uehara K. (2006). FACIAL EXPRESSION RECOGNITION BASED ON FACIAL MUSCLES BEHAVIOR ESTIMATION . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 48-55. DOI: 10.5220/0001372400480055

in Bibtex Style

@conference{visapp06,
author={Saki Morita and Kuniaki Uehara},
title={FACIAL EXPRESSION RECOGNITION BASED ON FACIAL MUSCLES BEHAVIOR ESTIMATION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={48-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001372400480055},
isbn={972-8865-40-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - FACIAL EXPRESSION RECOGNITION BASED ON FACIAL MUSCLES BEHAVIOR ESTIMATION
SN - 972-8865-40-6
AU - Morita S.
AU - Uehara K.
PY - 2006
SP - 48
EP - 55
DO - 10.5220/0001372400480055