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dc.contributor.authorZhang, Ligang
dc.contributor.authorTjondronegoro, Dian
dc.contributor.editorWong, KW
dc.contributor.editorMendis, BS
dc.contributor.editorBouzerdoum, A
dc.date.accessioned2020-01-14T06:24:47Z
dc.date.available2020-01-14T06:24:47Z
dc.date.issued2010
dc.identifier.isbn978-3-642-17533-6en_US
dc.identifier.issn0302-9743en_US
dc.identifier.doi10.1007/978-3-642-17534-3_72en_US
dc.identifier.urihttp://hdl.handle.net/10072/390258
dc.description.abstractHuman facial expression is a complex process characterized of dynamic, subtle and regional emotional features. State-of-the-art approaches on facial expression recognition (FER) have not fully utilized this kind of features to improve the recognition performance. This paper proposes an approach to overcome this limitation using patch-based 'salient' Gabor features. A set of 3D patches are extracted to represent the subtle and regional features, and then inputted into patch matching operations for capturing the dynamic features. Experimental results show a significant performance improvement of the proposed approach due to the use of the dynamic features. Performance comparison with pervious work also confirms that the proposed approach achieves the highest CRR reported to date on the JAFFE database and a top-level performance on the Cohn-Kanade (CK) database.en_US
dc.languageEnglishen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.relation.ispartofconferencename17th International Conference on Neural Information Processingen_US
dc.relation.ispartofconferencetitleLecture Notes in Computer Scienceen_US
dc.relation.ispartofdatefrom2010-11-22
dc.relation.ispartofdateto2010-11-25
dc.relation.ispartoflocationSydney, Australiaen_US
dc.relation.ispartofpagefrom582en_US
dc.relation.ispartofpageto589en_US
dc.relation.ispartofissuePART 2en_US
dc.relation.ispartofvolume6444en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsComputer Science, Artificial Intelligenceen_US
dc.subject.keywordsComputer Science, Information Systemsen_US
dc.subject.keywordsComputer Science, Theory & Methodsen_US
dc.titleImproving the Performance of Facial Expression Recognition Using Dynamic, Subtle and Regional Featuresen_US
dc.typeConference outputen_US
dcterms.bibliographicCitationZhang, L; Tjondronegoro, D, Improving the Performance of Facial Expression Recognition Using Dynamic, Subtle and Regional Features, Lecture Notes in Computer Science , PT II, 2010, 6444 (PART 2), pp. 582-589en_US
dc.date.updated2020-01-14T06:21:21Z
dc.description.versionAccepted Manuscript (AM)en_US
gro.rights.copyright© 2010 Springer-Verlag Berlin Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.comen_US
gro.hasfulltextFull Text
gro.griffith.authorTjondronegoro, Dian W.


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