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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3A3M2HE
Repositorysid.inpe.br/sibgrapi/2011/07.11.02.53
Last Update2011:07.12.04.22.16 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2011/07.11.02.53.40
Metadata Last Update2022:06.14.00.07.19 (UTC) administrator
DOI10.1109/SIBGRAPI.2011.10
Citation KeyJúniorMedeBezeUshi:2011:CoDeWi
TitleCorner detection within a multiscale framework
FormatDVD, On-line.
Year2011
Access Date2024, Apr. 30
Number of Files1
Size419 KiB
2. Context
Author1 Júnior, Iális Cavalcante de Paula
2 Medeiros, Fátima Nelsizeuma Sombra de
3 Bezerra, Francisco Nivando
4 Ushizima, Daniela Mayumi
Affiliation1 Universidade Federal do Ceará
2 Universidade Federal do Ceará
3 Instituto Federal de Educação, Ciência e Tecnologia
4 Lawrence Berkeley National Laboratory
EditorLewiner, Thomas
Torres, Ricardo
e-Mail Addressialis@ufc.br
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Conference LocationMaceió, AL, Brazil
Date28-31 Aug. 2011
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2011-07-23 15:36:12 :: ialis@ufc.br -> administrator :: 2011
2022-06-14 00:07:19 :: administrator -> :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordscorner detection
high curvature points (HCP)
shape reconstruction
curvature space-scale (CSS)
AbstractWe present a new multiscale method for corner detection. The proposed algorithm embodies an undecimated wavelet decomposition of the angulation signal of a shape contour to identify significant points on it. It detects peaks that persist through several scales from the correlation signal between scales of its non-orthogonal sub-band decompositions. These peaks correspond to high curvature points (HCPs). Furthermore, we compare the proposed method with others available in the literature, including the well-known curvature scale-space (CSS) method. The quantitative assessment of the algorithms is provided by some figures of merit (FOM) measures that indicate which method better detects the relevant points in terms of compaction and shape reconstruction.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2011 > Corner detection within...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Corner detection within...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3A3M2HE
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3A3M2HE
Languageen
Target FileCamera_Ready_SIBGRAPI.pdf
User Groupialis@ufc.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SKNPE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.00.56 5
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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