Facial expression classification on web images

Author

Richter, Maximilian ; Gehrig, T. ; Ekenel, Hazim Kemal

Author_Institution

Inst. for Anthropomatics, Karlsruhe Inst. of Technol., Karlsruhe, Germany

fYear

2012

fDate

11-15 Nov. 2012

Firstpage

3517

Lastpage

3520

Abstract

In this paper, we present a novel database which, is obtained from the web. It contains 4761 manually labeled images of seven basic expressions performed by a large number of subjects of different gender, age and ethnicity. Furthermore, we develop feature descriptors based on the discrete cosine transform (DCT), local binary patterns (LBP), and Gabor filters, which share a uniform formulation in terms of regions around key points. We explore several strategies to find an optimal selection of these key points. The system achieves 86.2%, 85.9% and 84.4% accuracy on the web image database using the Gabor, LBP, and DCT descriptors, respectively.

Keywords

Gabor filters; discrete cosine transforms; emotion recognition; face recognition; image classification; visual databases; DCT; DCT descriptors; Gabor filters; LBP descriptor; Web image database; discrete cosine transform; facial expression classification; feature descriptors; key points; local binary patterns; Databases; Discrete cosine transforms; Face; Face recognition; Feature extraction; Support vector machines; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2012 21st International Conference on

Conference_Location

Tsukuba

ISSN

1051-4651

Print_ISBN

978-1-4673-2216-4

Type

conf

Filename

6460923