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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier83LX3pFwXQZeBBx/fKD8d
Repositorydpi.inpe.br/banon/1999/01.12.18.29
Last Update1999:01.18.02.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2001/03.30.15.53.40
Metadata Last Update2022:06.14.00.16.28 (UTC) administrator
Citation KeyGrosskopfNeug:1998:AdGeDe
TitleAdapting geometrical deformable models to multiple range images
Year1998
Access Date2024, May 03
Number of Files1
Size1068 KiB
2. Context
Author1 Grosskopf, Stefan
2 Neugebauer, Peter Johannes
EditorCosta, L. da F
Camara, G.
Conference NameInternational Symposium on Computer Graphics, Image Processing and Vision, 11 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date20-23 Oct. 1998
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeFull Paper
OrganizationSBC - Sociedade Brasileira de Computação
History (UTC)2008-07-17 14:17:53 :: administrator -> banon ::
2008-08-26 15:25:25 :: banon -> administrator ::
2009-08-13 20:35:52 :: administrator -> banon ::
2010-10-01 04:19:36 :: banon -> administrator ::
2022-06-14 00:16:28 :: administrator -> :: 1998
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordssurface reconstruction
surface meshing
range images
geometrical deformable models
AbstractRecent research topics deal with the problem how to reconstruct real-world objects from a set of multiple range images showing only portions of the object. Here we present an approach how to generate and adapt a geometrical deformable model (GDM) to a set of already registered range images in order to reconstruct the complete object. From the range images we derive a signed distance function which implicitly defines the surface of the object. Then, an intermediate volume is carved out and a sparse triangle mesh is generated. The proposed GDM scheme refines the initial roughly approximated mesh by deformation and adaptive subtriangulation. Due to the adaptive improvement of the mesh up to the desired degree of accuracy, our method describes an efficient way how to reconstruct the object in user-definable accuracy.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 1998 > Adapting geometrical deformable...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Adapting geometrical deformable...
doc Directory Contentaccess
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/83LX3pFwXQZeBBx/fKD8d
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZeBBx/fKD8d
Target Filesse003.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RGNB8
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.04.49 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
NotesThe conference was held in Rio de Janeiro, RJ, Brazil, from October 20 to 23.
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