Publication:
Estimation and analysis of facial animation parameter patterns

dc.contributor.coauthorN/A
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorErzin, Engin
dc.contributor.kuauthorOfli, Ferda
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.kuauthorYemez, Yücel
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T23:04:13Z
dc.date.issued2007
dc.description.abstractWe propose a framework for estimation and analysis of temporal facial expression patterns of a speaker. ne proposed system aims to learn personalized elementary dynamic facial expression patterns for a particular speaker. We use head-and-shoulder stereo video sequences to track lip, eye, eyebrow, and eyelid motion of a speaker in 3D. MPEG-4 Facial Definition Parameters (FDPs) are used as the feature set, and temporal facial expression patterns are represented by the MPEG-4 Facial Animation Parameters (FAPs). We perform Hidden Markov Model (HMM) based unsupervised temporal segmentation of upper and lower facial expression features separately to determine recurrent elementary facial expression patterns for a particular speaker. These facial expression patterns coded by FAP sequences, which may not be tied with prespecified emotions, can be used for personalized emotion estimation and synthesis of a speaker. Experimental results are presented.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.isbn978-1-4244-1436-9
dc.identifier.issn1522-4880
dc.identifier.scopus2-s2.0-48149099939
dc.identifier.urihttps://hdl.handle.net/20.500.14288/8594
dc.identifier.wos253487201257
dc.keywordsDynamic facial expression analysis
dc.keywordsTemporal patterns
dc.keywordsRecognition
dc.keywordsExpressions
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2007 Ieee International Conference On Image Processing, Vols 1-7
dc.subjectEngineering
dc.subjectElectrical and electronic engineering
dc.subjectImaging science
dc.subjectPhotographic technology
dc.titleEstimation and analysis of facial animation parameter patterns
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorOfli, Ferda
local.contributor.kuauthorErzin, Engin
local.contributor.kuauthorYemez, Yücel
local.contributor.kuauthorTekalp, Ahmet Murat
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Computer Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication3fc31c89-e803-4eb1-af6b-6258bc42c3d8
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication434c9663-2b11-4e66-9399-c863e2ebae43
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

Files