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Graph-based Conservative Surface Reconstruction

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44353

Dumitriu,  Daniel
Algorithms and Complexity, MPI for Informatics, Max Planck Society;
International Max Planck Research School, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44874

Kutz,  Martin
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44464

Funke,  Stefan
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Citation

Dumitriu, D. (2007). Graph-based Conservative Surface Reconstruction. Master Thesis, Universität des Saarlandes, Saarbrücken.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-1DAA-B
Abstract
We propose a new approach for reconstructing a 2-manifold from a point sample in R³. Compared to previous algorithms, our approach is novel in that it throws away geometry information early on in the reconstruction process and mainly operates combinatorially on a graph structure. Furthermore, it is very conservative in creating adjacencies between samples in the vicinity of slivers, still we can prove that the resulting reconstruction faithfully resembles the original 2-manifold. While the theoretical proof requires an extremely high sampling density, our prototype implementation of the approach produces surprisingly good results on typical sample sets.