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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PJ4DUP
Repositorysid.inpe.br/sibgrapi/2017/09.04.14.05
Last Update2017:09.04.14.05.10 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/09.04.14.05.10
Metadata Last Update2022:05.18.22.18.23 (UTC) administrator
Citation KeyZavanGaBaSiAlBeSi:2017:FaAnWi
TitleFace Analysis in the Wild
FormatOn-line
Year2017
Access Date2024, Oct. 15
Number of Files1
Size1502 KiB
2. Context
Author1 Zavan, Flávio Henrique de Bittencourt
2 Gasparin, Nathaly
3 Batista, Júlio César
4 Silva, Luan Porfírio e
5 Albiero, Vítor
6 Bellon, Olga Regina Pereira
7 Silva, Luciano
Affiliation1 Universidade Federal do Paraná
2 Universidade Federal do Paraná
3 Universidade Federal do Paraná
4 Universidade Federal do Paraná
5 Universidade Federal do Paraná
6 Universidade Federal do Paraná
7 Universidade Federal do Paraná
EditorTorchelsen, 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 Addressflaviozavan@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeTutorial
History (UTC)2017-09-04 14:05:10 :: flaviozavan@gmail.com -> administrator ::
2022-05-18 22:18:23 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsface processing
face analysis
AbstractWith the global demand for extra security systems, and the growing of human-machine interaction, facial analysis in unconstrained environments (in the wild) became a hot-topic in recent computer vision research. Unconstrained environments include surveillance footage, social media photos and live broadcasts. This type of images and videos include no control over illumination, position, size, occlusion, and facial expressions. Successful facial processing methods for controlled scenarios are unable to pledge with challenging circumstances. Consequently, methods tailored for handling those situations are indispensable for the face analysis research progress. This work presents a comprehensive review of state-of-the-art methods, drawing attention to the complications derived from in the wild scenarios and the behavior differences when applied to the controlled images. The main topics to be covered are: (1) face detection; (2) facial image quality; (3) head pose estimation; (4) face alignment; (5) 3D face reconstruction; (6) gender and age estimation; (7) facial expressions and emotions; and (8) face recognition. Finally, available code and applications for in the wild face analysis are presented, followed by a discussion on future directions.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2017 > Face Analysis in...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 04/09/2017 11:05 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PJ4DUP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PJ4DUP
Languageen
Target FilePID4984285.pdf
User Groupflaviozavan@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 47
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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