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dc.contributor.authorZhou, Juxiang
dc.contributor.authorWang, Yun-qiong
dc.contributor.authorXu, Tianwei
dc.contributor.authorLiu, Wan-quan
dc.contributor.editorK.L. Chan, A. Sugimoto & H. Lu
dc.date.accessioned2017-01-30T12:36:01Z
dc.date.available2017-01-30T12:36:01Z
dc.date.created2011-01-18T20:03:01Z
dc.date.issued2010
dc.identifier.citationZhou, J. and Wang, Y. and Xu, T. and Liu, Wan-quan. 2010. A novel facial expression recognition based on the curevlet features, in Chan, K.L., Sugimoto, A. & Lu, H. (ed), PSIVT 2010 Fourth Pacific-Rim symposium on image and video technology, Nov 14 2010, pp. 82-87. Singapore: IEEE Computer Society.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/23208
dc.description.abstract

Curvelet transform has been recently proved to be a powerful tool for multi-resolution analysis on images. In this paper we propose a new approach for facial expression recognition based on features extracted via curvelet transform. First curvelet transform is presented and its advantages in image analysis are described. Then the coefficients of curvelet in selected scales and angles are used as features for image analysis. Consequently the Principal Component Analysis (PCA) and Linear Discriminate Analysis (LDA) are used to reduce and optimize the curvelet features. Finally we use the nearest neighbor classifier to recognize the facial expressions based on these features. The experimental results on JAFFE and Cohn Kanade two benchmark databases show that the proposed approach outperforms the PCA and LDA techniques on the original image pixel values as well as its counterparts with the wavelet features.

dc.publisherIEEE Computer Society
dc.subjectWavelet
dc.subjectFacial expression recognition
dc.subjectCurvelet transform
dc.subjectLDA
dc.subjectPCA
dc.titleA novel facial expression recognition based on the curevlet features
dc.typeConference Paper
dcterms.source.startPage82
dcterms.source.endPage87
dcterms.source.titleProceedings of the fourth Pacific-Rim symposium on image and video technology
dcterms.source.seriesProceedings of the fourth Pacific-Rim symposium on image and video technology
dcterms.source.isbn9780769542850
dcterms.source.conferencePSIVT 2010 Fourth Pacific-Rim symposium on image and video technology
dcterms.source.conference-start-dateNov 14 2010
dcterms.source.conferencelocationSingapore
dcterms.source.placeLos Alamitos, California
curtin.note

Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentDepartment of Computing
curtin.accessStatusOpen access


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