1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW4/35S5EHS |
Repository | sid.inpe.br/sibgrapi@80/2009/08.17.16.07 |
Last Update | 2009:08.17.16.07.20 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2009/08.17.16.07.21 |
Metadata Last Update | 2022:06.14.00.13.57 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2009.24 |
Citation Key | CamaraNetoCamp:2009:ImMeIm |
Title | An Improved Methodology for Image Feature Matching |
Format | Printed, On-line. |
Year | 2009 |
Access Date | 2024, Apr. 28 |
Number of Files | 1 |
Size | 1518 KiB |
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2. Context | |
Author | 1 Camara Neto, Vilar Fiuza da 2 Campos, Mario Fernando Montenegro |
Affiliation | 1 Fundação Centro de Análise, Pesquisa e Inovação Tecnológica (FUCAPI) 2 Universidade Federal de Minas Gerais (UFMG) |
Editor | Nonato, Luis Gustavo Scharcanski, Jacob |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI) |
Conference Location | Rio de Janeiro, RJ, Brazil |
Date | 11-14 Oct. 2009 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2010-08-28 20:03:26 :: vilarneto -> administrator :: 2022-06-14 00:13:57 :: administrator -> :: 2009 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | image correspondence feature matching image registration SIFT SURF |
Abstract | This paper presents a novel methodology to perform matching between image points described by their respective features. Traditionally, such correspondences are determined by computing the similarity between descriptor vectors associated to 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 in accuracy, number of successful matches, and execution time. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2009 > An Improved Methodology... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > An Improved Methodology... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW4/35S5EHS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW4/35S5EHS |
Language | en |
Target File | PID949585.pdf |
User Group | vilarneto administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46SJQ2S 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.14.19.43 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress 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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