Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2007: administrator
Metadata Last Update2020: administrator
Citation KeyGoisPoEtTeCaErNo:2007:RoAdSu
TitleRobust and Adaptive Surface Reconstruction using Partition of Unity Implicits
FormatPrinted, On-line.
DateOct. 7-10, 2007
Access Date2021, Jan. 19
Number of Files1
Size1032 KiB
Context area
Author1 Gois, João Paulo
2 Polizelli-Junior, Valdecir
3 Etiene, Tiago
4 Tejada, Eduardo
5 Castelo, Antonio
6 Ertl, Thomas
7 Nonato, Luis Gustavo
Affiliation1 Universidade de São Paulo
2 Universidade de São Paulo
3 Universidade de São Paulo
4 Universität Stuttgart
5 Universidade de São Paulo
6 Universität Stuttgart
7 Universidade de São Paulo
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2007-07-05 13:53:17 :: -> administrator ::
2007-08-02 21:17:13 :: administrator -> ::
2008-07-17 14:09:42 :: -> administrator ::
2009-08-13 20:38:18 :: administrator -> banon ::
2010-08-28 20:02:26 :: banon -> administrator ::
2020-02-19 03:06:18 :: administrator -> :: 2007
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsPartition of Unity, Surface Reconstruction, Multi-variate Orthogonal Polynomials, J1A Triangulation.
AbstractImplicit surface reconstruction from unorganized point sets has been recently approached with methods based on multi-level partition of unity. We improve this approach by addressing local approximation robustness and iso-surface extraction issues. Our method relies on the J1A triangulation to perform both the spatial subdivision and the iso-surface extraction. We also make use of orthogonal polynomials to provide adaptive local approximations in which the degree of the polynomial can be adjusted to accurately reconstruct the surface locally. Finally, we compare our results with previous work to demonstrate the robustness of our method.
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Target Filegois-RobustAdaptivePartitionUnityImplicits.pdf
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