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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3RMTUPH
Repositorysid.inpe.br/sibgrapi/2018/08.26.13.19
Last Update2018:09.07.22.49.35 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2018/08.26.13.19.10
Metadata Last Update2022:06.14.00.09.07 (UTC) administrator
DOI10.1109/SIBGRAPI.2018.00035
Citation KeyBoehsVierPere:2018:DeExBo
TitleDecoupling Expressiveness and Body-Mechanics in Human Motion
FormatOn-line
Year2018
Access Date2024, May 01
Number of Files1
Size7226 KiB
2. Context
Author1 Boehs, Gustavo Eggert
2 Viera, Milton Luiz Horn
3 Pereira, Clovis Geyer
Affiliation1 Universidade Federal de Santa Catarina
2 Universidade Federal de Santa Catarina
3 Universidade Federal de Santa Catarina
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addressgustavo.boehs@ufsc.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2018-08-26 13:19:10 :: gustavo.boehs@ufsc.br -> administrator ::
2018-09-03 20:37:55 :: administrator -> gustavo.boehs@ufsc.br :: 2018
2018-09-07 22:49:36 :: gustavo.boehs@ufsc.br -> administrator :: 2018
2022-06-14 00:09:07 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsmotion capture
deep learning
animation
AbstractModern motion capturing systems can accurately store human motion with high precision. Editing this kind of data is troublesome, due to the amount and complexity of data. In this paper, we present a method for decoupling the aspects of human motion that are strictly related to locomotion and balance, from other movements that may convey expressiveness and intentionality. We then demonstrate how this decoupling can be useful in creating variations of the original motion, or in mixing different actions together.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2018 > Decoupling Expressiveness and...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Decoupling Expressiveness and...
doc Directory Contentaccess
source Directory Content
decoupling.pdf 26/08/2018 10:19 7.1 MiB
agreement Directory Content
agreement.html 26/08/2018 10:19 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3RMTUPH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3RMTUPH
Languageen
Target Filedecoupling.pdf
User Groupgustavo.boehs@ufsc.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 10
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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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