Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/348
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHancock, Peter J B-
dc.date.accessioned2013-06-09T00:16:57Z-
dc.date.available2013-06-09T00:16:57Z-
dc.date.issued2000-06-
dc.identifier.urihttp://hdl.handle.net/1893/348-
dc.description.abstractA system that uses an underlying genetic algorithm to evolve faces in response to user selection is described. The descriptions of faces used by the system are derived from a statistical analysis of a set of faces. The faces used for generation are transformed to an average shape by defining locations around each face and morphing. The shape-free images and shape vectors are then separately subjected to principal components analysis. Novel faces are generated by recombining the image components ("eigenfaces") and then morphing their shape according to the principal components of the shape vectors ("eigenshapes"). The prototype system indicates that such statistical analysis of a set of faces can produce plausible, randomly generated photographic images.en_UK
dc.language.isoen-
dc.publisherPsychonomic Society-
dc.relationHancock PJB (2000) Evolving faces from principal components, Behavior Research Methods, Instruments and Computers, 32 (2), pp. 327-333.-
dc.rightsPublished in Behavior research methods, instruments and computers by Psychonomic Society-
dc.subjectFace PCAen_UK
dc.subjectfacial compositesen_UK
dc.subjectEvolutionary algorithmen_UK
dc.subjectEigenfaceen_UK
dc.subjectEigenshapeen_UK
dc.subject.lcshFace perception-
dc.subject.lcshFace physiology-
dc.subject.lcshMorphology-
dc.titleEvolving faces from principal componentsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doihttp://dx.doi.org/10.3758/BF03207802-
dc.citation.jtitleBehavior Research Methods, Instruments and Computers-
dc.citation.issn0743-3808-
dc.citation.volume32-
dc.citation.issue2-
dc.citation.spage327-
dc.citation.epage333-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPost-print (author final draft post-refereeing)-
dc.contributor.affiliationPsychology-
dc.identifier.isi000087668700017-
Appears in Collections:Psychology Journal Articles

Files in This Item:
File Description SizeFormat 
BRMIC2000.pdf1.25 MBAdobe PDFView/Open


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.