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Improving surface meshing from discrete data by feature recognition

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Abstract

In this paper, we propose a method to identify, on a mesh, geometric primitives commonly used in mechanical parts (plane, sphere, cylinder, torus, cone) in order to improve the quality of the surface remeshing. We have already presented techniques to adapt an existing surface mesh based on a mesh-free technique denoted as diffuse interpolation. In this approach, a secondary local geometrical model is built from the mesh. From this model, principal curvatures are calculated and the type of surface can be determined from the computation of the curvatures. Some of the concepts presented here are original while others have been adapted from techniques used in reverse engineering. Our approach is not limited to feature recognition on meshes but has been extended to a set of points.

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Authors and Affiliations

  1. Laboratoire Roberval, UMR CNRS-UTC 6066, Université de Technologie de Compiègne, 60205, Compiègne Cedex, France

    C. Chappuis, A. Rassineux, P. Breitkopf & P. Villon

  2. ESI Software, 99 rue des Solets, Silic 112, 94513, Rungis Cedex, France

    C. Chappuis

Authors
  1. C. Chappuis
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  2. A. Rassineux
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  3. P. Breitkopf
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  4. P. Villon
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Correspondence to A. Rassineux.

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Chappuis, C., Rassineux, A., Breitkopf, P. et al. Improving surface meshing from discrete data by feature recognition. Engineering with Computers 20, 202–209 (2004). https://doi.org/10.1007/s00366-004-0288-0

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  • DOI: https://doi.org/10.1007/s00366-004-0288-0

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