Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/1931
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Edwards, Gareth J. | - |
dc.contributor.author | Taylor, Chris J. | - |
dc.contributor.author | Cootes, Timothy F. | - |
dc.contributor.author | Lanitis, Andreas | - |
dc.contributor.other | Λανίτης, Ανδρέας | - |
dc.date.accessioned | 2009-05-28T12:27:35Z | en |
dc.date.accessioned | 2013-05-16T13:11:01Z | - |
dc.date.accessioned | 2015-12-02T09:40:28Z | - |
dc.date.available | 2009-05-28T12:27:35Z | en |
dc.date.available | 2013-05-16T13:11:01Z | - |
dc.date.available | 2015-12-02T09:40:28Z | - |
dc.date.issued | 1998-03 | - |
dc.identifier.citation | Image and Vision Computing, 1998, vol. 16, no. 3, pp. 203-211 | en_US |
dc.identifier.issn | 2628856 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/1931 | - |
dc.description.abstract | Model-based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face shape and grey-level appearance and shown how they can be used to perform various coding and interpretation tasks. In the paper we describe improved methods of modelling which couple shape and grey-level information more directly than our existing methods, isolate the changes in appearance due to different sources of variability (person, expression, pose, lighting) and deal with non-linear shape variation. We show that the new methods are better suited to interpretation and tracking tasks. | 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 image interpretation | en_US |
dc.subject | Model-based approach | en_US |
dc.title | Statistical models of face images--improving specificity | en_US |
dc.type | Article | en_US |
dc.collaboration | The University of Manchester | en_US |
dc.journals | Hybrid Open Access | en_US |
dc.country | United Kingdom | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.identifier.doi | 10.1016/S0262-8856(97)00069-3 | en_US |
dc.dept.handle | 123456789/54 | en |
dc.relation.issue | 3 | en_US |
dc.relation.volume | 16 | en_US |
cut.common.academicyear | 1997-1998 | en_US |
dc.identifier.spage | 203 | en_US |
dc.identifier.epage | 211 | 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 |
CORE Recommender
SCOPUSTM
Citations
81
checked on Mar 21, 2021
WEB OF SCIENCETM
Citations
50
56
Last Week
0
0
Last month
0
0
checked on Oct 29, 2023
Page view(s) 20
497
Last Week
0
0
Last month
9
9
checked on Aug 30, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.