Multimodal expression-invariant face recognition using dual-tree complex wavelet transform

Author

Ayatollahi, Fazael ; Raie, Abolghasem A. ; Hajati, Farshid

Author_Institution

Electr. Eng. Dept., AmirKabir Univ. of Technol., Tehran, Iran

fYear

2013

Firstpage

154

Lastpage

158

Abstract

A new multimodal face recognition method which extracts features of rigid and semi-rigid regions of the face using Dual-Tree Complex Wavelet Transform (DT-CWT) is proposed. DT-CWT decomposes range and intensity images into eight sub-images consisting of six band-pass sub-images to represent face details and two low-pass sub-images to represent face approximates. In this work, support vector machine (SVM) has been used as the classifier. The proposed method has been evaluated using the face BU-3DFE dataset containing a wide range of expression changes. Findings include the overall identification rate of 98.1% and the overall verification rate of 99.3% at 0.1% false acceptance rate.

Keywords

emotion recognition; face recognition; feature extraction; image representation; support vector machines; trees (mathematics); wavelet transforms; DT-CWT; SVM; dual-tree complex wavelet transform; expression invariant; face BU-3DFE dataset; face approximate representation; feature extraction; intensity image decomposition; multimodal expression-invariant face recognition; range image decomposition; rigid face regions; semi rigid face regions; support vector machine; Face; Face recognition; Feature extraction; Support vector machines; Three-dimensional displays; Wavelet transforms; SVM; complex wavelet; expression invariant; face recognition; multimodal;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on

Conference_Location

Zanjan

ISSN

2166-6776

Print_ISBN

978-1-4673-6182-8

Type

conf

DOI

10.1109/IranianMVIP.2013.6779969

Filename

6779969