“Spectral watertight surface reconstruction” by Kolluri, Shewchuk and O’Brien

  • ©Ravi Krishna Kolluri, Jonathan Richard Shewchuk, and James F. 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.


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