Spectral Watertight Surface Reconstruction
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Authors
- Ravi Kolluri
- Jonathan Shewchuk
- James F. O'Brien
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Abstract
We use spectral partitioning to reconstruct a watertight surface from point cloud data. This method is particularly effective for noisy and undersampled point sets with outliers, because decisions about the reconstructed surface are based on a global view of the model.
Citation
Ravi Krishna Kolluri, Jonathan R. Shewchuk, and James F. O'Brien. "Spectral Watertight Surface Reconstruction". In Proceedings of SIGGRAPH 2003, Technical Sketch, July 2003.
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The full version of this paper was published in SGP 2004.