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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/3JMDK8E
Repositorysid.inpe.br/sibgrapi/2015/06.17.18.11
Last Update2015:06.17.18.11.15 (UTC) apneto@icmc.usp.br
Metadatasid.inpe.br/sibgrapi/2015/06.17.18.11.15
Metadata Last Update2020:02.19.02.14.03 (UTC) administrator
Citation KeyMottaOliPagNonPai:2015:ExSeVe
TitleExploratory segmentation of vector fields using multidimensional projection
FormatOn-line
Year2015
Access Date2021, Nov. 28
Number of Files1
Size9663 KiB
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Author1 Motta, Danilo
2 Oliveira, Maria
3 Pagliosa, Paulo
4 Nonato, Luis Gustavo
5 Paiva, Afonso
Affiliation1 ICMC-USP
2 ICMC-USP
3 FACOM-UFMS
4 ICMC-USP
5 ICMC-USP
EditorPapa, Joćo Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
e-Mail Addressapneto@icmc.usp.br
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-17 18:11:15 :: apneto@icmc.usp.br -> administrator ::
2020-02-19 02:14:03 :: administrator -> :: 2015
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsvector field
segmentation
multidimensional projection
visualization
AbstractThe difficulty to understand the complex behavior of vector fields makes its visual segmentation an area of constant interest in scientific visualization. In this paper, we present a novel interactive segmentation framework for discrete vector fields. In our method, the vector field domain is partitioned into multiple regions with same flow patterns. In order to accomplish this task, feature vectors are extracted from streamlines and mapped to a visual space using multidimensional projection. The interactivity with projected data in the visual space improves the results of the segmentation according to users knowledge. The provided results and comparisons show the flexibility and effectiveness of our framework.
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data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JMDK8E
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JMDK8E
Languageen
Target Filepaper.pdf
User Groupapneto@icmc.usp.br
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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