• DocumentCode
    3173964
  • Title

    3D Feature Line Detection Based on Vertex Labeling and 2D Skeletonization

  • Author

    Kudelski, Dimitri ; Mari, Jean-Luc ; Viseur, Sophie

  • Author_Institution
    LSIS, Univ. Aix-Marseille 2, Marseille, France
  • fYear
    2010
  • fDate
    21-23 June 2010
  • Firstpage
    246
  • Lastpage
    250
  • Abstract
    In this paper, we present an approach to extract feature lines on a 3D mesh. The main problem of classical methods is the difficulty to obtain connectivity of resulting lines. In order to sort out this recurrent problem, we propose an algorithm based on the following ideas. The first one is to label candidate points: they characterize the relevant areas corresponding to the expected features. Our second idea is to unfold this binary flagged mesh into a 2D space in order to use well-known morphological operators. By mapping the resulting output back on the mesh, we get relevant and connected feature lines. We then apply this technique to geological data scans to extract fractures and bench limits.
  • Keywords
    edge detection; feature extraction; mathematical morphology; mathematical operators; mesh generation; 2D skeletonization; 3D feature line detection; 3D mesh; binary flagged mesh; feature line extraction approach; mathematical morphology; morphological operators; vertex labeling; Computer vision; Data mining; Feature extraction; Geology; Geometry; Labeling; Large scale integration; Noise robustness; Shape; Surface morphology; 3D feature lines; geometric modeling; mathematical morphology; meshes; skeletonization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Shape Modeling International Conference (SMI), 2010
  • Conference_Location
    Aix-en-Provence
  • Print_ISBN
    978-1-4244-7259-8
  • Electronic_ISBN
    978-1-4244-7260-4
  • Type

    conf

  • DOI
    10.1109/SMI.2010.35
  • Filename
    5521471