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Author Guskov, Igor ♦ Wood, Zoe J.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Topological Noise Removal ♦ Topological Noise ♦ Non-separating Cut ♦ Topological Complexity ♦ Local Topology ♦ Local Wave Front Traversal ♦ Subsequent Operation ♦ Unnecessary Nontrivial Topology ♦ Small Tunnel ♦ Laser Scanner Data
Abstract 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 topologies 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Publisher Date 2001-01-01