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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3M5B33E
Repositorysid.inpe.br/sibgrapi/2016/07.20.23.26
Last Update2016:07.20.23.26.09 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/07.20.23.26.09
Metadata Last Update2022:06.14.00.08.29 (UTC) administrator
DOI10.1109/SIBGRAPI.2016.055
Citation KeyFernandesJrMatoArag:2016:GeApFa
TitleGeometrical approaches for facial expression recognition using support vector machines
FormatOn-line
Year2016
Access Date2024, Apr. 27
Number of Files1
Size741 KiB
2. Context
Author1 Fernandes Junior, Jovan de Andrade
2 Matos, Leonardo Nogueira
3 Aragão, Maria Géssica dos Santos
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addressjovanoasis@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherIEEE Computer Society´s Conference Publishing Services
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2016-07-20 23:26:09 :: jovanoasis@gmail.com -> administrator ::
2016-10-05 14:49:14 :: administrator -> jovanoasis@gmail.com :: 2016
2016-10-13 17:40:12 :: jovanoasis@gmail.com -> administrator :: 2016
2022-06-14 00:08:29 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsfacial expression recognition
PDM
CFS
correlation features selection
Cohn-Kanade database
AbstractThis article presents two facial geometric-based approaches for facial expression recognition using support vector machines. The first method performed an experimental research to identify the relevant geometric features for human point of view and achieved 85% of recognition rate. The second experiment employed the Correlation Feature Selection and achieved 96.11% of recognition rate. All experiments were carried out with Cohn-Kanade database and the results obtained are compatible with the state-of-the-art in this in this research area.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2016 > Geometrical approaches for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Geometrical approaches for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3M5B33E
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3M5B33E
Languageen
Target FilePID4367509.pdf
User Groupjovanoasis@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark 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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