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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3C8U3MH
Repositorysid.inpe.br/sibgrapi/2012/07.09.15.07
Last Update2012:07.09.15.07.49 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.09.15.07.49
Metadata Last Update2022:06.14.00.07.25 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.54
Citation KeyCeolinHanc:2012:CoGeDi
TitleComputing gender difference using Fisher-Rao metric from facial surface normals
FormatDVD, On-line.
Year2012
Access Date2025, July 12
Number of Files1
Size199 KiB
2. Context
Author1 Ceolin, Simone Regina
2 Hancock, Edwin R.
Affiliation1 Centro Universitário Franciscano
2 University of York
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addresssimoneceolin@gmail.com
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto, MG, Brazil
Date22-25 Aug. 2012
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2012-09-20 16:45:34 :: simoneceolin@gmail.com -> administrator :: 2012
2022-03-08 21:03:23 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 12:50:21 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:25 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsFisher-Rao metric
surface normal
shape-from-shading
AbstractThe 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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Computing gender difference...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Computing gender difference...
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source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3C8U3MH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C8U3MH
Languageen
Target Filepaper_sibgrapi_2012.pdf
User Groupsimoneceolin@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SL8GS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.03.31 40
sid.inpe.br/sibgrapi/2022/06.10.21.49 7
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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