Close
Metadata

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3S396AB
Repositorysid.inpe.br/sibgrapi/2018/10.16.14.57
Last Update2018:10.16.14.57.31 (UTC) samirapgti@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2018/10.16.14.57.31
Metadata Last Update2022:05.18.22.18.31 (UTC) administrator
Citation KeySilvaCostSchw:2018:AgPaLe
TitleAggregating Partial Least Squares Models for Open-set Face Identification
FormatOn-line
Year2018
Access Date2024, May 18
Number of Files1
Size459 KiB
2. Context
Author1 Silva, Samira
2 Costa, Filipe
3 Schwartz, William Robson
Affiliation1 Federal University of Minas Gerais
2 CPqD - Image and Speech Processing Management
3 Federal University of Minas Gerais
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addresssamirapgti@gmail.com
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2018-10-16 14:57:31 :: samirapgti@gmail.com -> administrator ::
2022-05-18 22:18:31 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsOpen-set Face Recognition
Face Identification
Partial Least Squares
AbstractFace identification is an important task in computer vision and has a myriad of applications, such as in surveillance, forensics and human-computer interaction. In the past few years, several methods have been proposed to solve face identification task in closed-set scenarios, that is, methods that make assumption of all the probe images necessarily matching a gallery individual. However, in real-world applications, one might want to determine the identity of an unknown face in open-set scenarios. In this work, we propose a novel method to perform open-set face identification by aggregating Partial Least Squares models using the one-against-all protocol in a simple but fast way. The model outputs are combined into a response histogram which is balanced if the probe face belongs to a gallery individual or have a highlighted bin, otherwise. Evaluation is performed in four datasets: FRGCv1, FG-NET, Pubfig and Pubfig83. Results show significant improvement when compared to state-of-the art approaches regardless challenges posed by different datasets.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2018 > Aggregating Partial Least...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 16/10/2018 11:57 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3S396AB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3S396AB
Languageen
Target File2018-wtd26-samira-silva_camera-ready.pdf
User Groupsamirapgti@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 14
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


Close