dc.contributor.author | Shenoy, A. | |
dc.contributor.author | Gale, T.M. | |
dc.contributor.author | Davey, N. | |
dc.contributor.author | Christianson, B. | |
dc.contributor.author | Frank, R. | |
dc.date.accessioned | 2013-01-14T14:59:04Z | |
dc.date.available | 2013-01-14T14:59:04Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Shenoy , A , Gale , T M , Davey , N , Christianson , B & Frank , R 2008 , ' Recognizing Facial Expressions : A Comparison of Computational Approaches ' , Lecture Notes in Computer Science (LNCS) , vol. 5163 , pp. 1001-1010 . https://doi.org/10.1007/978-3-540-87536-9_102 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.other | dspace: 2299/2413 | |
dc.identifier.other | ORCID: /0000-0002-3777-7476/work/76728348 | |
dc.identifier.uri | http://hdl.handle.net/2299/9619 | |
dc.description | Original article can be found at http://springerlink.com | |
dc.description.abstract | Recognizing facial expressions are a key part of human social interaction,and processing of facial expression information is largely automatic, but it is a non-trivial task for a computational system. The purpose of this work is to develop computational models capable of differentiating between a range of human facial expressions. Raw face images are examples of high dimensional data, so here we use some dimensionality reduction techniques: Linear Discriminant Analysis, Principal Component Analysis and Curvilinear Component Analysis. We also preprocess the images with a bank of Gabor filters, so that important features in the face images are identified. Subsequently the faces are classified using a Support Vector Machine. We show that it is possible to differentiate faces with a neutral expression from those with a smiling expression with high accuracy. Moreover we can achieve this with data that has been massively reduced in size: in the best case the original images are reduced to just 11 dimensions. | en |
dc.format.extent | 263741 | |
dc.language.iso | eng | |
dc.relation.ispartof | Lecture Notes in Computer Science (LNCS) | |
dc.title | Recognizing Facial Expressions : A Comparison of Computational Approaches | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Science & Technology Research Institute | |
dc.description.status | Peer reviewed | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=58849144391&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1007/978-3-540-87536-9_102 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |