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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3A3P47L
Repositorysid.inpe.br/sibgrapi/2011/07.11.14.09
Last Update2011:07.11.14.09.21 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2011/07.11.14.09.21
Metadata Last Update2022:06.14.00.07.20 (UTC) administrator
DOI10.1109/SIBGRAPI.2011.39
Citation KeyMacędoFarLimKelAlb:2011:CaSt3D
TitleTowards a Standalone Methodology for Robust Algorithms Evaluation: A Case Study in 3D Reconstruction
FormatDVD, On-line.
Year2011
Access Date2024, Apr. 28
Number of Files1
Size344 KiB
2. Context
Author1 Macędo, Samuel Victor Medeiros de
2 Farias, Thiago Souto Maior Cordeiro de
3 Lima, Juliane Cristina Botelho de Oliveira
4 Kelner, Judith
5 Albuquerque, Eduardo
Affiliation1 UFPE
2 UFPE
3 UFPE
4 UFPE
5 UFG
EditorLewiner, Thomas
Torres, Ricardo
e-Mail Addresssamuel@gprt.ufpe.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 15:36:13 :: samuel@gprt.ufpe.br -> administrator :: 2011
2022-06-14 00:07:20 :: administrator -> :: 2011
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsrobust algorithms
standalone methodology
statistical tests
hypothesis testing
AbstractIn the field of 3D reconstruction there are two main challenging tasks that require careful consideration, namely, feature detection and matching. The corresponding automatic process introduces noise resulting from the image capture and spurious features matching. A number of robust algorithms for hypothesis evaluation have been suggested; they would deal with these limitations by removing outliers. Most of these works are merely comparisons to previous algorithms and lack any standalone evaluation. This paper attempts to fill this gap by introducing a novel and robust statistical methodology. It has the advantage of evaluating related algorithms using non-dimensional metrics for fixed and continuous intervals. In addition, the proposed methodology is validated using a proof of concept scenario based on the 3D pose estimation phase in the 3D reconstruction pipeline. The obtained results are very promising and emphasize the methodology's generic nature, clearing the way for its application in a multitude of scenarios, such as computer vision and 3D reconstruction.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2011 > Towards a Standalone...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Towards a Standalone...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3A3P47L
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3A3P47L
Languageen
Target Fileexample.pdf
User Groupsamuel@gprt.ufpe.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 3
sid.inpe.br/sibgrapi/2022/06.10.21.49 1
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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