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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PJ53LS
Repositorysid.inpe.br/sibgrapi/2017/09.04.17.28
Last Update2017:09.04.17.28.09 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/09.04.17.28.09
Metadata Last Update2022:05.18.22.18.23 (UTC) administrator
Citation KeyCarmoAlveOliv:2017:FaIdBa
TitleFace identification based on synergism of classifiers in rectified stereo images
FormatOn-line
Year2017
Access Date2024, Oct. 15
Number of Files1
Size447 KiB
2. Context
Author1 Carmo, Diedre
2 Alves, Raul
3 Oliveira, Luciano
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 Addresscarmodiedre@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 TypeUndergraduate Work
History (UTC)2017-09-04 17:28:09 :: carmodiedre@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
Keywordscomputer vision
stereo camera
face identification
AbstractThis paper proposes a method to identify faces from a stereo camera. Our approach tries to avoid common problems that come with using only one camera that shall arise while detecting from a relatively unstable view in real world applications. The proposed approach exploits the use of a local binary pattern (LBP) to describe the faces in each image of the stereo camera, after detecting the face using the Viola- Jones method. LBP histogram feeds then multilayer perceptron (MLP) and support vector machine classifiers to identify the faces detected in each stereo image, considering a database of target faces. Computational cost problem due to the use of dual cameras are alleviated with the use of co-planar rectified images, achieved through calibration of the stereo camera. Performance is assessed using the well established Yale face dataset, and performance is assessed by using only one or both camera images.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2017 > Face identification based...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PJ53LS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PJ53LS
Languageen
Target Filefinal-sibgrapi-wuw-tcc.pdf
User Groupcarmodiedre@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 33
sid.inpe.br/banon/2001/03.30.15.38.24 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsaffiliation archivingpolicy 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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