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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3RNQF9L
Repositorysid.inpe.br/sibgrapi/2018/08.31.21.48
Last Update2018:08.31.21.48.13 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2018/08.31.21.48.13
Metadata Last Update2022:06.14.00.09.18 (UTC) administrator
DOI10.1109/SIBGRAPI.2018.00059
Citation KeyGalvãoFalcChow:2018:ReItSp
TitleRISF: Recursive Iterative Spanning Forest for superpixel segmentation
FormatOn-line
Year2018
Access Date2024, Apr. 29
Number of Files1
Size1927 KiB
2. Context
Author1 Galvão, Felipe Lemes
2 Falcão, Alexandre Xavier
3 Chowdhury, Ananda Shankar
Affiliation1 IC-Unicamp
2 IC-Unicamp
3 Jadavpur University
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 Addressfelipelemes@outlook.com
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)2018-08-31 21:48:13 :: felipelemes@outlook.com -> administrator ::
2022-06-14 00:09:18 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsImage Foresting Transform
image segmentation
superpixel segmentation
AbstractMethods for superpixel segmentation have become very popular in computer vision. Recently, a graph-based framework named ISF (Iterative Spanning Forest) was proposed to obtain connected superpixels (supervoxels in 3D) based on multiple executions of the Image Foresting Transform (IFT) algorithm from a given choice of four components: a seed sampling strategy, an adjacency relation, a connectivity function, and a seed recomputation procedure. In this paper, we extend ISF to introduce a unique characteristic among superpixel segmentation methods. Using the new framework, termed as Recursive Iterative Spanning Forest (RISF), one can recursively generate multiple segmentation scales on region adjacency graphs (i.e., a hierarchy of superpixels) without sacrificing the efficiency and effectiveness of ISF. In addition to a hierarchical segmentation, RISF allows a more effective geodesic seed sampling strategy, with no negative impact in the efficiency of the method. For a fixed number of scales using 2D and 3D image datasets, we show that RISF can consistently outperform the most competitive ISF-based methods.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2018 > RISF: Recursive Iterative...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > RISF: Recursive Iterative...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3RNQF9L
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3RNQF9L
Languageen
Target File89.pdf
User Groupfelipelemes@outlook.com
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 11
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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