“Spectral watertight surface reconstruction” by Kolluri, Shewchuk and O’Brien
Conference:
Type(s):
Title:
- Spectral watertight surface reconstruction
Session/Category Title: Surface Reconstruction
Presenter(s)/Author(s):
Abstract:
An eigenvector-based method for reconstructing a watertight surface from point-cloud data. This spectral method is particularly effective for noisy and undersampled point sets, because decisions about the reconstructed surface are based on a global view of the model.
References:
1. AMENTA, N., CHOI, S., AND KOLLURI, R. 2001. The Power Crust, Unions of Balls, and the Medial Axis Transform. Computational Geometry: Theory and Applications 19, 2–3 (July), 127–153.
2. POTHEN, A., SIMON, H. D., AND LIOU, K.-P. 1990. Partitioning Sparse Matrices with Eigenvectors of Graphs. SIAM Journal on Matrix Analysis and Applications 11, 3 (July), 430–452.
