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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/386A48P
Repositorysid.inpe.br/sibgrapi/2010/08.28.22.20
Last Update2010:08.28.22.20.48 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/08.28.22.20.48
Metadata Last Update2022:09.13.03.49.08 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.44
Citation KeyMattosMenaCesaVelh:2010:3DLiFa
Title3D linear facial animation based on real data
FormatPrinted, On-line.
Year2010
Access Date2024, Apr. 29
Number of Files1
Size1351 KiB
2. Context
Author1 Mattos, Andréa Britto
2 Mena-Chalco, Jesús Pascual
3 Cesar Junior, Roberto Marcondes
4 Velho, Luiz Carlos Pacheco Rodrigues
Affiliation1 Universidade de São Paulo
2 Universidade de São Paulo
3 Universidade de São Paulo
4 Instituto Nacional de Matemática Pura e Aplicada
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressdedea2@gmail.com
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:37 :: dedea2@gmail.com -> administrator :: 2010
2022-09-13 03:49:08 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsComputer graphics
facial animation
3D reconstruction
AbstractIn this paper we introduce a Facial Animation system using real three-dimensional models of people, acquired by a 3D scanner. We consider a dataset composed by models displaying different facial expressions and a linear interpolation technique is used to produce a smooth transition between them. One-to-one correspondences between the meshes of each facial expression are required in order to apply the interpolation process. Instead of focusing in the computation of dense correspondence, some points are selected and a triangulation is defined, being refined by consecutive subdivisions, that compute the matchings of intermediate points. We are able to animate any model of the dataset, given its texture information for the neutral face and the geometry information for all the expressions along with the neutral face. This is made by computing matrices with the variations of every vertex when changing from the neutral face to the other expressions. The knowledge of the matrices obtained in this process makes it possible to animate other models given only the texture and geometry information of the neutral face. Furthermore, the system uses 3D reconstructed models, being capable of generating a three-dimensional facial animation from a single 2D image of a person. Also, as an extension of the system, we use artificial models that contain expressions of visemes, that are not part of the expressions of the dataset, and their displacements are applied to the real models. This allows these models to be given as input to a speech synthesis application in which the face is able to speak phrases typed by the user. Finally, we generate an average face and increase the displacements between a subject from the dataset and the average face, creating, automatically, a caricature of the subject.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > 3D linear facial...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/386A48P
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/386A48P
Languageen
Target File3D Linear Facial Animation Based on Real Data.pdf
User Groupdedea2@gmail.com
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 4
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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