Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3C8U3MH |
Repository | sid.inpe.br/sibgrapi/2012/07.09.15.07 |
Last Update | 2012:07.09.15.07.49 simoneceolin@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2012/07.09.15.07.49 |
Metadata Last Update | 2020:02.19.02.18.27 administrator |
Citation Key | CeolinHanc:2012:CoGeDi |
Title | Computing gender difference using Fisher-Rao metric from facial surface normals  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 28 |
Number of Files | 1 |
Size | 199 KiB |
Context area | |
Author | 1 Ceolin, Simone Regina 2 Hancock, Edwin R. |
Affiliation | 1 Centro Universitário Franciscano 2 University of York |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | simoneceolin@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:34 :: simoneceolin@gmail.com -> administrator :: 2012 2020-02-19 02:18:27 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Fisher-Rao metric, surface normal, shape-from-shading. |
Abstract | The aim in this paper is to explore whether the Fisher-Rao metric can be used to characterise the shape changes due to gender difference. We work using a 2.5D representation based on facial surface normals (or facial needle-maps) for gender classification. The needle-map is a shape representation which can be acquired from 2D intensity images using shape-from-shading (SFS). Using the von-Mises Fisher distribution, we compute the elements of the Fisher information matrix, and use this to compute geodesic distance between fields of surface normals to construct a shape-space. We embed the fields of facial surface normals into a low dimensional pattern space using a number of alternative methods including multidimensional scaling, heat kernel embedding and commute time embedding. We present results on clustering the embedded faces using the Max Planck and EAR database. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3C8U3MH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C8U3MH |
Language | en |
Target File | paper_sibgrapi_2012.pdf |
User Group | simoneceolin@gmail.com |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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