• DocumentCode
    3549081
  • Title

    Active polyhedron: surface evolution theory applied to deformable meshes

  • Author

    Slabaugh, Greg ; Unal, Gozde

  • Author_Institution
    Intelligent Vision & Reasoning Dept., Siemens Corp. Res., Princeton, NJ, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    84
  • Abstract
    This paper presents a novel 3D deformable surface that we call an active polyhedron. Rooted in surface evolution theory, an active polyhedron is a polyhedral surface whose vertices deform to minimize a regional and/or boundary-based energy functional. Unlike continuous active surface models, the vertex motion of an active polyhedron is computed by integrating speed terms over polygonal faces of the surface. The resulting ordinary differential equations (ODEs) provide improved robustness to noise and allow for larger time steps compared to continuous active surfaces implemented with level set methods. We describe an electrostatic regularization technique that achieves global regularization while better preserving sharper local features. Experimental results demonstrate the effectiveness of an active polyhedron in solving segmentation problems as well as surface reconstruction from unorganized points.
  • Keywords
    computational geometry; deformation; differential equations; image reconstruction; image segmentation; mesh generation; noise; solid modelling; 3D mesh deformable surface; active polyhedron; continuous active surface models; electrostatic regularization technique; ordinary differential equations; polygonal faces; segmentation problem; surface evolution theory; surface reconstruction; vertex motion; Acoustic noise; Active noise reduction; Deformable models; Electrostatics; Image reconstruction; Image segmentation; Noise robustness; Speckle; Surface reconstruction; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.60
  • Filename
    1467426