dc.contributor.author | Zhang, Ligang | |
dc.contributor.author | Tjondronegoro, Dian | |
dc.contributor.editor | Wong, KW | |
dc.contributor.editor | Mendis, BS | |
dc.contributor.editor | Bouzerdoum, A | |
dc.date.accessioned | 2020-01-14T06:24:47Z | |
dc.date.available | 2020-01-14T06:24:47Z | |
dc.date.issued | 2010 | |
dc.identifier.isbn | 978-3-642-17533-6 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.doi | 10.1007/978-3-642-17534-3_72 | en_US |
dc.identifier.uri | http://hdl.handle.net/10072/390258 | |
dc.description.abstract | Human 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.language | English | en_US |
dc.publisher | Springer-Verlag Berlin Heidelberg | en_US |
dc.relation.ispartofconferencename | 17th International Conference on Neural Information Processing | en_US |
dc.relation.ispartofconferencetitle | Lecture Notes in Computer Science | en_US |
dc.relation.ispartofdatefrom | 2010-11-22 | |
dc.relation.ispartofdateto | 2010-11-25 | |
dc.relation.ispartoflocation | Sydney, Australia | en_US |
dc.relation.ispartofpagefrom | 582 | en_US |
dc.relation.ispartofpageto | 589 | en_US |
dc.relation.ispartofissue | PART 2 | en_US |
dc.relation.ispartofvolume | 6444 | en_US |
dc.subject.keywords | Science & Technology | en_US |
dc.subject.keywords | Computer Science, Artificial Intelligence | en_US |
dc.subject.keywords | Computer Science, Information Systems | en_US |
dc.subject.keywords | Computer Science, Theory & Methods | en_US |
dc.title | Improving the Performance of Facial Expression Recognition Using Dynamic, Subtle and Regional Features | en_US |
dc.type | Conference output | en_US |
dcterms.bibliographicCitation | Zhang, 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. 582-589 | en_US |
dc.date.updated | 2020-01-14T06:21:21Z | |
dc.description.version | Accepted 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.com | en_US |
gro.hasfulltext | Full Text | |
gro.griffith.author | Tjondronegoro, Dian W. | |