Spectral Watertight Surface Reconstruction
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.
Supplemental Material
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.