Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/10917
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lanitis, Andreas | - |
dc.contributor.author | Taylor, Chris J. | - |
dc.contributor.author | Cootes, Timothy F. | - |
dc.date.accessioned | 2018-04-16T06:08:26Z | - |
dc.date.available | 2018-04-16T06:08:26Z | - |
dc.date.issued | 1995-06 | - |
dc.identifier.citation | Image and Vision Computing, 1995, vol. 13, no. 5, pp. 393-401 | en_US |
dc.identifier.issn | 02628856 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/10917 | - |
dc.description.abstract | We describe the use of flexible models for representing the shape and grey-level appearance of human faces. These models are controlled by a small number of parameters which can be used to code the overall appearance of a face for image compression and classification purposes. The model parameters control both inter-class and within-class variation. Discriminant analysis techniques are employed to enhance the effect of those parameters affecting inter-class variation, which are useful for classification. We have performed experiments using face images which display considerable variability in 3D viewpoint, lighting and facial expression. We show that good face reconstructions can be obtained using 83 model parameters, and that high recognition rates can be achieved. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Image and Vision Computing | en_US |
dc.rights | © Elsevier | en_US |
dc.subject | Face recognition | en_US |
dc.subject | Shape | en_US |
dc.subject | Grey-level modelling | en_US |
dc.subject | Active shape models | en_US |
dc.title | Automatic face identification system using flexible appearance models | en_US |
dc.type | Article | en_US |
dc.doi | https://doi.org/10.1016/0262-8856(95)99726-H | en_US |
dc.collaboration | University of Manchester | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.journals | Hybrid Open Access | en_US |
dc.country | United Kingdom | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.issue | 5 | en_US |
dc.relation.volume | 13 | en_US |
cut.common.academicyear | 1995-1996 | en_US |
dc.identifier.spage | 393 | en_US |
dc.identifier.epage | 401 | en_US |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.grantfulltext | none | - |
crisitem.author.dept | Department of Multimedia and Graphic Arts | - |
crisitem.author.faculty | Faculty of Fine and Applied Arts | - |
crisitem.author.orcid | 0000-0001-6841-8065 | - |
crisitem.author.parentorg | Faculty of Fine and Applied Arts | - |
crisitem.journal.journalissn | 0262-8856 | - |
crisitem.journal.publisher | Elsevier | - |
Appears in Collections: | Άρθρα/Articles |
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