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dc.contributor.authorVierjahn, Tomen_US
dc.contributor.authorLorenz, Guidoen_US
dc.contributor.authorMostafawy, Sinaen_US
dc.contributor.authorHinrichs, Klausen_US
dc.contributor.editorCarlos Andujar and Enrico Puppoen_US
dc.date.accessioned2013-11-08T10:28:36Z
dc.date.available2013-11-08T10:28:36Z
dc.date.issued2012en_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttp://dx.doi.org/10.2312/conf/EG2012/short/029-032en_US
dc.description.abstractGrowing Cell Structures (GCS) have been proven to be suitable for surface reconstruction from unstructured point clouds. The reconstructed triangle mesh can be represented compactly as a progressive mesh with integrated level of detail by storing only vertex split operations. However, half-edge collapse operations are used for GCS. In this paper, we present an improvement to a GCS-based surface reconstruction technique by converting a halfedge collapse to a more general vertex removal to create a progressive mesh. We have evaluated the new technique with respect to running time overhead and mesh quality. Results indicate that this technique can be used for efficient surface reconstruction. We will use the presented findings as basis for future research.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Computer Graphics [I.3.5]: Computational Geometry and Object Modeling Curve, surface, solid, and object representations; Geometric algorithms, languages, and systemsen_US
dc.titleGrowing Cell Structures Learning a Progressive Mesh During Surface Reconstruction - A Top-Down Approachen_US
dc.description.seriesinformationEurographics 2012 - Short Papersen_US


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