1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW4/362SDBB |
Repository | sid.inpe.br/sibgrapi@80/2009/09.09.21.33 |
Last Update | 2009:09.09.21.33.08 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2009/09.09.21.33.10 |
Metadata Last Update | 2022:06.14.00.14.10 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2009.15 |
Citation Key | ThomazAmGiKiSaGi:2009:MuDiAn |
Title | A multi-linear discriminant analysis of 2D frontal face images |
Format | Printed, On-line. |
Year | 2009 |
Access Date | 2024, May 02 |
Number of Files | 1 |
Size | 5205 KiB |
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2. Context | |
Author | 1 Thomaz, Carlos Eduardo 2 Amaral, Vagner 3 Giraldi, Gilson Antonio 4 Kitani, Edson Caoru 5 Sato, Joao Ricardo 6 Gillies, Duncan Fyfe |
Affiliation | 1 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 |
Editor | Nonato, Luis Gustavo Scharcanski, Jacob |
e-Mail Address | cet@fei.edu.br |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 11-14 Oct. 2009 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-08-28 20:03:28 :: cet@fei.edu.br -> administrator :: 2022-06-14 00:14:10 :: administrator -> :: 2009 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | Linear Discriminant Analysis Hyperplane Navigation Face Images |
Abstract | We 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2009 > A multi-linear discriminant... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > A multi-linear discriminant... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW4/362SDBB |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW4/362SDBB |
Language | en |
Target File | 57160_finalversion.pdf |
User Group | cet@fei.edu.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SJQ2S 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.19.43 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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