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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3869EA2
Repositorysid.inpe.br/sibgrapi/2010/08.28.18.54
Last Update2010:08.28.18.54.16 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/08.28.18.54.16
Metadata Last Update2022:06.14.00.06.50 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.31
Citation KeyCamaraNetoCamp:2010:ImImFe
TitleOn the Improvement of Image Feature Matching under Perspective Transformations
FormatPrinted, On-line.
Year2010
Access Date2024, May 03
Number of Files1
Size2961 KiB
2. Context
Author1 Camara Neto, Vilar Fiuza da
2 Campos, Mario Fernando Montenegro
Affiliation1 Fundação Centro de Análise, Pesquisa e Inovação Tecnológica - FUCAPI
2 Universidade Federal de Minas Gerais
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressneto@dcc.ufmg.br
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:37 :: neto@dcc.ufmg.br -> administrator :: 2010
2022-06-14 00:06:50 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsvisual features correspondence
image matching
AbstractThis paper presents a novel methodology to perform consistent matching between visual features of a pair of images, particularly in the case of point-of-view changes between shots. Traditionally, such correspondences are determined by computing the similarity between descriptor vectors associated with each point which are obtained by invariant descriptors. Our methodology first obtains a coarse global registration among images, which constrains the correspondence space. Then, it analyzes the similarity among descriptors, thus reducing both the number and the severity of mismatches. The approach is sufficiently generic to be used with many feature descriptor methods. We present several experimental results that show significant increase both in accuracy and the number of successful matches.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > On the Improvement...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > On the Improvement...
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/3869EA2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3869EA2
Languageen
Target Filesibgrapi2010vilarnt-matching.pdf
User Groupneto@dcc.ufmg.br
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 7
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 mirrorrepository 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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