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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JTALPP
Repositorysid.inpe.br/sibgrapi/2015/07.23.23.50
Last Update2015:07.23.23.50.04 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/07.23.23.50.04
Metadata Last Update2022:05.18.22.21.01 (UTC) administrator
Citation KeySilvaPamp:2015:ReFa2D
TitleReconhecimento Facial 2D para Autenticação Contínua
FormatOn-line
Year2015
Access Date2024, Apr. 19
Number of Files1
Size3463 KiB
2. Context
Author1 da Silva, Adeilson Antônio
2 Pamplona Segundo, Maurício
Affiliation1 Intelligent Vision Research Lab, Departamento de Ciência da Computação, Universidade Federal da Bahia, Brasil
2 Intelligent Vision Research Lab, Departamento de Ciência da Computação, Universidade Federal da Bahia, Brasil
EditorVieira, Thales Miranda de Almeida
Mello, Vinicius Moreira
e-Mail Addressadeilsonsilva@dcc.ufba.br
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2015-07-23 23:50:04 :: adeilsonsilva@dcc.ufba.br -> administrator ::
2022-05-18 22:21:01 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsface recognition
continuous authentication
biometrics
computer vision
AbstractThis paper presents a continuous 2D face authentication system with the purpose of forbid unauthorized people to access an application. The use of 2D images makes the system more accessible, given the ease of finding cameras of this type in current computers. Because of the limiting factors on the use of 2D images, like pose variation and face occlusion, a normalization process is used to reduce the effects of those problems. With the score given by the recognition stage, the probability of the system being safe is calculated. The system was evaluated through 10 minutes long videos with variations in facial expression, pose and occlusion, and a equal error rate of approximately 8% was achieved.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > Reconhecimento Facial 2D...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 23/07/2015 20:50 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JTALPP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JTALPP
Languagept
Target FileAdeilsonSilva-MauricioPamplona_Reconhecimento Facial 2D para Autenticação Contínua_Camera Ready.pdf
User Groupadeilsonsilva@dcc.ufba.br
administrator
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi 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 versiontype volume


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