Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/D34qc
Repositorysid.inpe.br/banon/2004/08.02.12.04
Last Update2004:07.28.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/08.02.12.04.18
Metadata Last Update2022:06.14.00.12.36 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352985
Citation KeyWilliamsLowHanPolLas:2004:AuImAl
TitleAutomatic image alignment for 3D environment modeling
FormatOn-line
Year2004
Access Date2024, May 02
Number of Files2
Size8468 KiB
2. Context
Author1 Williams, Nathaniel
2 Low, Kok-Lim
3 Hantak, Chad
4 Pollefeys, Marc
5 Lastra, Anselmo
Affiliation1 University of North Carolina at Chapel Hill
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Addressthan@cs.unc.edu
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-08-26 15:15:42 :: banon -> administrator ::
2009-08-13 20:37:26 :: administrator -> banon ::
2010-08-28 20:01:13 :: banon -> administrator ::
2022-06-14 00:12:36 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsimage registration
3D imaging.
AbstractWe describe an approach for automatically registering color images with 3D laser scanned models. We use the chi-square statistic to compare color images to polygonal models texture mapped with acquired laser reflectance values. In complicated scenes we find that the chi-square test is not robust enough to permit an automatic global registration approach. Therefore, we introduce two techniques for obtaining initial pose estimates that correspond to a coarse alignment of the data. The first method is based on rigidly attaching a camera to a laser scanner and the second utilizes object tracking to decouple these imaging devices. The pose estimates serve as an initial guess for our optimization method, which maximizes the chi-square statistic over a local space of transformations in order to automatically determine the proper alignment.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Automatic image alignment...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Automatic image alignment...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/D34qc
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/D34qc
Languageen
User Groupbanon
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 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 targetfile tertiarymark type url volume


Close