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MPI-I-2004-4-005

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.

October 2004, 22 pages.

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Status: available - back from printing

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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URL to this document: https://domino.mpi-inf.mpg.de/internet/reports.nsf/NumberView/2004-4-005

Hide details for BibTeXBibTeX
@TECHREPORT{IvrissimtzisJeongLeeLeeSeidel2004,
  AUTHOR = {Ivrissimtzis, I.P. and Jeong, W.-K. and Lee, S. and Lee, Y. and and Seidel, H.-P.},
  TITLE = {Neural meshes: surface reconstruction with a learning algorithm},
  TYPE = {Research Report},
  INSTITUTION = {Max-Planck-Institut f{\"u}r Informatik},
  ADDRESS = {Stuhlsatzenhausweg 85, 66123 Saarbr{\"u}cken, Germany},
  NUMBER = {MPI-I-2004-4-005},
  MONTH = {October},
  YEAR = {2004},
  ISSN = {0946-011X},
}