Title:
Edge-Sharpener: Recovering Sharp Features in Triangulations of Non-adaptively
Re-meshed Surfaces
Authors:
Marco Attene (a), Bianca Falcidieno (a),
Jarek Rossignac (b),
Michela Spagnuolo (a)
(a) Istituto per la Matematica Applicata e Tecnologie Informatiche, CNR, Genova, ITALY
(b) College of Computing, Georgia Institute of Technology, Georgia, USA
Abstract:
3D scanners, iso-surface extraction procedures, and several recent geometric compression schemes
sample surfaces of 3D shapes in a regular fashion, without any attempt to align the samples with
the sharp edges and corners of the original shape. Consequently, the interpolating triangle meshes
chamfer these sharp features and thus exhibit significant errors. The new Edge-Sharpener filter
introduced here identifies the chamfer edges and subdivides them and their incident triangles by
inserting new vertices and by forcing these vertices to lie on intersections of planes that locally
approximate the smooth surfaces that meet at these sharp features. This post-processing significantly
reduces the error produced by the initial sampling process. For example, we have observed that the
L2 error introduced by the SwingWrapper remeshing-based compressor can be reduced down to a fifth
by executing Edge-Sharpener after decompression, with no additional information.
Keywords: Triangle meshes, sharp features,
sampling, edge-extraction
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