Facial Expression Recognition Influenced by Human Aging

Author

Guodong Guo ; Rui Guo ; Xin Li

Author_Institution

Lane Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA

Volume

4

Issue

3

fYear

2013

fDate

July-Sept. 2013

Firstpage

291

Lastpage

298

Abstract

Facial expression recognition (FER) is an active research topic in computer vision. However, there is no study yet to discover whether FER is affected by human aging, from a computational perspective. We perform a computational study of FER within and across age groups and compare the FER accuracies. Two databases from the psychology society are introduced to the computer vision community and used for our study. We found that the FER is influenced significantly by human aging, and we analyze the influence and interpret it from a computational viewpoint. Next, we propose some schemes to reduce the influence of aging on FER and evaluate the effectiveness in dealing with lifespan FER.

Keywords

computer vision; face recognition; geriatrics; FER; computational perspective; computational viewpoint; computer vision; facial expression recognition; human aging; psychology society; Accuracy; Aging; Computer vision; Databases; Face recognition; Feature extraction; Psychology; Facial expression recognition; aging effect on FER; cross-age FER; lifespan FER; subtle features in faces;

fLanguage

English

Journal_Title

Affective Computing, IEEE Transactions on

Publisher

ieee

ISSN

1949-3045

Type

jour

DOI

10.1109/T-AFFC.2013.13

Filename

6517179