Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/vStjr
Repositorysid.inpe.br/banon/2002/10.25.09.20
Last Update2002:09.23.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2002/10.25.09.20.33
Metadata Last Update2022:06.14.00.11.55 (UTC) administrator
DOI10.1109/SIBGRA.2002.1167141
Citation KeyGopiKris:2002:FaEfPr
TitleFast and efficient projection-based approach for surface reconstruction
Year2002
Access Date2024, Apr. 27
Number of Files1
Size5438 KiB
2. Context
Author1 Gopi, M.
2 Krishnan, Shankar
EditorGonçalves, Luiz Marcos Garcia
Musse, Soraia Raupp
Comba, João Luiz Dihl
Giraldi, Gilson
Dreux, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)
Conference LocationFortaleza, CE, Brazil
Date10-10 Oct. 2002
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Brazilian Computer Society
History (UTC)2008-07-17 14:10:48 :: administrator -> banon ::
2008-08-26 15:21:23 :: banon -> administrator ::
2009-08-13 20:36:46 :: administrator -> banon ::
2010-08-28 20:00:07 :: banon -> administrator ::
2022-06-14 00:11:55 :: administrator -> :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
AbstractWe present a fast and memory efficient algorithm that generates a manifold triangular mesh S passing through a set of unorganized points P {R}^3. Nothing is assumed about the geometry, topology or presence of boundaries in the data set except that P is sampled from a real manifold surface. The speed of our algorithm is derived from a projection-based approach we use to determine the incident faces on a point. Our algorithm has successfully reconstructed the surfaces of unorganized point clouds of sizes varying from 10,000 to 100,000 in about 3--30 seconds on a 250 MHz, R10000 SGI Onyx2. Our technique can be specialized for different kinds of input and applications. For example, our algorithm can be specialized to handle data from height fields like terrain and range scan, even in the presence of noise. We have successfully generated meshes for range scan data of size 900,000 points in less than 40 seconds.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2002 > Fast and efficient...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Fast and efficient...
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/vStjr
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/vStjr
Languageen
Target File102.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QCSHP
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.01.04.11 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Fortaleza, CE, Brazil, from October 7 to 10.
Empty Fieldsaffiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress format group isbn issn keywords label lineage mark mirrorrepository nextedition numberofvolumes orcid 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


Close