Preprinted version. Published in 2001 Graphics Interface Proceedings: Ottawa, Canada, June 7, 2001, pages 19-26.
Copyright © ACM 2001. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Graphics Interface Proceedings, June 2001.
NOTE: At the time of publication, the author Zoë Wood was not yet affiliated with Cal Poly.
Meshes obtained from laser scanner data often contain topological noise due to inaccuracies in the scanning and merging process. This topological noise complicates subsequent operations such as remeshing, parameterization and smoothing. We introduce an approach that removes unnecessary nontrivial topology from meshes. Using a local wave front traversal, we discover the local topolo-gies of the mesh and identify features such as small tunnels. We then identify non-separating cuts along which we cut and seal the mesh, reducing the genus and thus the topological complexity of the mesh.