Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3PJD3L2 |
Repository | sid.inpe.br/sibgrapi/2017/09.06.13.12 |
Last Update | 2017:09.06.13.12.02 diandraakemi@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2017/09.06.13.12.02 |
Metadata Last Update | 2020:02.20.22.06.47 administrator |
Citation Key | KuboBellFlynSilv:2017:CoFeEx |
Title | Facial Expression Recognition: Comparison of Feature Extraction Methods  |
Format | On-line |
Year | 2017 |
Date | Oct. 17-20, 2017 |
Access Date | 2021, Jan. 19 |
Number of Files | 1 |
Size | 1338 KiB |
Context area | |
Author | 1 Kubo, Diandra Akemi Alves 2 Bellon, Olga Regina Pereira 3 Flynn, Patrick 4 Silva, Luciano |
Affiliation | 1 Universidade Federal do Paraná 2 Universidade Federal do Paraná 3 University of Notre Dame 4 Universidade Federal do Paraná |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | diandraakemi@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Undergraduate Work |
History | 2017-09-06 13:12:02 :: diandraakemi@gmail.com -> administrator :: 2020-02-20 22:06:47 :: administrator -> :: 2017 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | facial expression, feature extraction. |
Abstract | Human facial expressions are one of the most im-portant communication channels, being used with trust to betterunderstand ones state of mind in a variety of applications, forinstance, emotion recognition. As a result, various algorithms andmethods have been developed for facial expression recognition.On this context, we review the literature and conduct tests ondifferent algorithms regarding facial feature extraction, in orderto evaluate their performance on the BU-3DFE database. Thisdatabase was chosen because it is widely used and all emotionsare annotated for each image. Therefore BU-3DFE is suitable forthe proposed benchmarking. The best result was achieved by acombination of Eigenfaces and SVM as classifier. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3PJD3L2 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PJD3L2 |
Language | en |
Target File | 2017_sibgrapi_daakubo.pdf |
User Group | diandraakemi@gmail.com |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PJT9LS 8JMKD3MGPAW/3PKCC58 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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