• DocumentCode
    457498
  • Title

    Triangular Mesh Generation of Octrees of Non-Convex 3D Objects

  • Author

    Shin, Dongjoe ; Tjahjadi, Tardi

  • Author_Institution
    Sch. of Eng., Warwick Univ.
  • Volume
    3
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    950
  • Lastpage
    953
  • Abstract
    A general surface-generating algorithm, the marching cube, produces triangular meshes from octants where the vertices of octants are clearly classified into either inside or outside the object. However, the algorithm is ambiguous for octrees corresponding to non-convex objects generated using a shape from silhouette technique. This paper presents a methodology which involves Delaunay triangulation to generate surface meshes for such octrees. Since the general 3D Delaunay triangulation creates 3D convex hull which consists of tetrahedron meshes, we propose a method which applies the Delaunay algorithm locally in order to deal with non-convex objects. The proposed method first slices an octree and detects the clusters in each slice. All clusters between adjacent slices are linked based on a 3D probability density cube. The Delaunay algorithm is then applied to locally-linked clusters. Finally the accumulation of triangular meshes forms a final non-convex surface mesh
  • Keywords
    computational geometry; mesh generation; object recognition; octrees; pattern clustering; probability; Delaunay triangulation; marching cube; nonconvex 3D objects; octrees; probability density cube; silhouette technique; surface-generating algorithm; tetrahedron meshes; triangular mesh generation; Clustering algorithms; Computed tomography; Data visualization; Electronic mail; Image reconstruction; Mesh generation; Shape; Surface reconstruction; Tree data structures; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.1137
  • Filename
    1699683