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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3PFQM68
Repositorysid.inpe.br/sibgrapi/2017/08.21.18.01
Last Update2017:08.21.19.17.27 administrator
Metadatasid.inpe.br/sibgrapi/2017/08.21.18.01.21
Metadata Last Update2020:02.19.02.01.30 administrator
Citation KeyMedalhaPaglPaivPagl:2017:LeMoDy
TitleLeast-squares Morphing of Dynamic Meshes
FormatOn-line
Year2017
Access Date2021, Jan. 25
Number of Files1
Size2547 KiB
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Author1 Medalha, André
2 Pagliosa, Lucas
3 Paiva, Afonso
4 Pagliosa, Paulo
Affiliation1 FACOM-UFMS
2 ICMC-USP
3 ICMC-USP
4 FACOM-UFMS
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addresspagliosa@facom.ufms.br
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
DateOct. 17-20, 2017
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2017-08-21 19:17:27 :: pagliosa@facom.ufms.br -> administrator :: 2017
2020-02-19 02:01:30 :: administrator -> :: 2017
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsmorphing, cross-parameterization, least-squares meshes, dynamic meshes.
AbstractMorphing is a technique that smoothly transforms a shape onto another. In this paper, we present a method for morphing of two dynamic meshes: mesh sequences representing the keyframes of animated shapes over time. The pipeline of the proposed method comprises two main stages: template-based cross-parameterization and dynamic mesh interpolation. In the cross-parameterization stage, we use a variation of least-squares (LS) meshes to provide a coarse approximation of the geometry of the source mesh onto the target mesh. In our method, the possible candidates for initial control points of the LS-mesh are detected using an approach based on the Heat Kernel Signature (HKS). Then, an iterative process of fine fitting adds new constraints in the LS-mesh processing. The cross-parameterization is performed just once for any two frames in order to establish a full correspondence between vertices of the source and target meshes. Next, we use such a correspondence in the dynamic mesh interpolation stage to produce the morphing results. The method is entirely mesh-based and does not demand the generation of skeletons, mesh segmentation or the use of any additional control structures. Moreover, it does not require the two input meshes to share the same number of vertices or triangles, or to have the same connectivity. The provided results show the robustness and effectiveness of our method.
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data URLhttp://urlib.net/rep/8JMKD3MGPAW/3PFQM68
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFQM68
Languageen
Target Filepaper.pdf
User Grouppagliosa@facom.ufms.br
Visibilityshown
Update Permissionnot transferred
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PJT9LS
8JMKD3MGPAW/3PKCC58
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition 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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