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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/362SDBB
Repositorysid.inpe.br/sibgrapi@80/2009/09.09.21.33
Last Update2009:09.09.21.33.08 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/09.09.21.33.10
Metadata Last Update2022:06.14.00.14.10 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.15
Citation KeyThomazAmGiKiSaGi:2009:MuDiAn
TitleA multi-linear discriminant analysis of 2D frontal face images
FormatPrinted, On-line.
Year2009
Access Date2024, May 02
Number of Files1
Size5205 KiB
2. Context
Author1 Thomaz, Carlos Eduardo
2 Amaral, Vagner
3 Giraldi, Gilson Antonio
4 Kitani, Edson Caoru
5 Sato, Joao Ricardo
6 Gillies, Duncan Fyfe
Affiliation1 Centro Universitario da FEI (FEI)
2 Centro Universitario da FEI (FEI)
3 Laboratorio Nacional de Computacao Cientifica (LNCC)
4 Universidade de Sao Paulo (USP)
5 Universidade Federal do ABC (UFABC)
6 Imperial College London
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addresscet@fei.edu.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:28 :: cet@fei.edu.br -> administrator ::
2022-06-14 00:14:10 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsLinear Discriminant Analysis
Hyperplane Navigation
Face Images
AbstractWe have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is based on a general multivariate two-stage linear framework that addresses the small sample size problem in high-dimensional spaces. Starting with a 2D face data set of well framed images, we determine a most characteristic direction of change by organizing the data according to the features of interest. Our goal here is to use all the facial image features simultaneously rather than separate models for texture and shape information. Our experiments show that the method does produce plausible unseen views for gender, facial expression and ageing changes. We believe that this method could be widely applied for normalization in face recognition and in identifying subjects after a lapse of time.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > A multi-linear discriminant...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A multi-linear discriminant...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW4/362SDBB
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/362SDBB
Languageen
Target File57160_finalversion.pdf
User Groupcet@fei.edu.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage 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 volume


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