Sift-flow registration for facial expression analysis using Gabor wavelets

Author

Dahmane, Mohamed ; Meunier, Jean

Author_Institution

Dept. of Comput. Sci. & Oper. Res. (DIRO), Univ. of Montreal, Montreal, QC, Canada

fYear

2012

fDate

2-5 July 2012

Firstpage

175

Lastpage

180

Abstract

Within the affective computing research field, researchers are still facing a big challenge to establish techniques to recognize human emotions from video sequences, since human affective behavior is subtle and multimodal. Automated systems try to build a mapping between the continuous emotion space and a set of discrete expression categories (e.g. happiness, sadness). Since facial expression may vary differently across humans, designing a general expression model is the most challenging problem.

Keywords

Gabor filters; emotion recognition; face recognition; image registration; image sequences; video signal processing; wavelet transforms; Gabor wavelets; SIFT-flow registration; affective computing; automated system; continuous emotion space; discrete expression category; facial expression analysis; human affective behavior; human emotion recognition; video sequence; Databases; Face; Face recognition; Feature extraction; Protocols; Support vector machines; Vectors; Gabor filters; JAFFE database; SIFT-flow; facial expression recognition; registration;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on

Conference_Location

Montreal, QC

Print_ISBN

978-1-4673-0381-1

Electronic_ISBN

978-1-4673-0380-4

Type

conf

DOI

10.1109/ISSPA.2012.6310540

Filename

6310540