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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3ME3658
Repositorysid.inpe.br/sibgrapi/2016/09.12.12.55
Last Update2016:09.12.12.55.45 (UTC) rafaelvareto@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.12.12.55.45
Metadata Last Update2022:05.18.22.21.10 (UTC) administrator
Citation KeyVaretoCostSchw:2016:FaIdLa
TitleFace Identification in Large Galleries
FormatOn-line
Year2016
Access Date2024, May 03
Number of Files1
Size1273 KiB
2. Context
Author1 Vareto, Rafael Henrique
2 Costa, Filipe
3 Schwartz, William Robson
Affiliation1 Universidade Federal de Minas Gerais
2 Universidade Federal de Minas Gerais
3 Universidade Federal de Minas Gerais
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 Addressrafaelvareto@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeFace Processing Application Paper
History (UTC)2016-09-12 12:55:45 :: rafaelvareto@gmail.com -> administrator ::
2022-05-18 22:21:10 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsDistractors
Partial Least Squares
Face Hashing
Scalability
Face Identification
AbstractFace Recognition is one of the most studied problems in computer vision due to its importance to areas such as forensics, surveillance, neuroscience and psychology. This work comprises a preliminary study of the face identification (one of the tasks comprising face recognition) considering large galleries. We analyze how the face recognition rate behaves under the presence of an increasing number of individuals in the gallery set, referred to as distractors. Nowadays, many real-world applications demand face search and identification at colossal scale. Therefore, we direct our attention towards the 1:N face identification task, where N, the gallery size, is extremely large. The idea behind this work is to study and evaluate the performance of face identification for such large face galleries.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Face Identification in...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3ME3658
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3ME3658
Languageen
Target Filemain.pdf
User Grouprafaelvareto@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 4
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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