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Neural meshes: surface reconstruction with a learning algorithm

Ivrissimtzis, I.P. and Jeong, W.-K. and Lee, S. and Lee, Y. and and Seidel, H.-P.

MPI-I-2004-4-005. October 2004, 22 pages. | Status: available - back from printing | Next --> Entry | Previous <-- Entry

Abstract in LaTeX format:
In this paper we propose a Learning algorithm for surface
reconstruction. Our algorithm simulates an incrementally expanding
neural network which learns a point cloud through a competitive
learning process. The topology is learned through statistics based
operators which create boundaries and merge them to create handles. We
study the algorithm theoretically, analyzing statistically its main
components, and experimentally, using an extensive range of input data sets.
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